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THE BEADY EYE ASK’S : ARE OUR LIVES GOING TO BE RULED BY ALGORITHMS.

20 Saturday May 2023

Posted by in 2023 the year of disconnection., Algorithms., Artificial Intelligence., Big Data., Communication., Dehumanization., Democracy, Digital age., DIGITAL DICTATORSHIP., Digital Friendship., Disconnection., Fourth Industrial Revolution., Human Collective Stupidity., Human values., Humanity., Imagination., IS DATA DESTORYING THE WORLD?, Modern Day Democracy., Our Common Values., Purpose of life., Reality., Social Media Regulation., State of the world, Technology, Technology v Humanity, The Obvious., The state of the World., The world to day., THE WORLD YOU LIVE IN., THIS IS THE STATE OF THE WORLD.  , Tracking apps., Unanswered Questions., Universal values., We can leave a legacy worthwhile., What is shaping our world., What Needs to change in the World

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( Ten minute read) 

I am sure that unless you have being living on another planet it is becoming more and more obvious that the manner you live your life is being manipulate and influence by technologies.

So its worth pausing to ask why the use of AI for algorithm-informed decision is desirable, and hence worth our collective effort to think through and get right.

A huge amount of our lives – from what appears in our social media feeds to what route our sat-nav tells us to take – is influenced by algorithms. Email knows where to go thanks to algorithms. Smartphone apps are nothing but algorithms. Computer and video games are algorithmic storytelling.  Online dating and book-recommendation and travel websites would not function without algorithms.

Artificial intelligence (AI) is naught but algorithms.

The material people see on social media is brought to them by algorithms. In fact, everything people see and do on the web is a product of algorithms. Algorithms are also at play, with most financial transactions today accomplished by algorithms. Algorithms help gadgets respond to voice commands, recognize faces, sort photos and build and drive cars. Hacking, cyberattacks and cryptographic code-breaking exploit algorithms.

Algorithms are aimed at optimizing everything.

Self-learning and self-programming algorithms are now emerging, so it is possible that in the future algorithms will write many if not most algorithms.

Yes they can save lives, make things easier and conquer chaos, but when it comes both the commercial/ social world, there are many good reasons to question the use of Algorithms.

Why? 

They can put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, while exploiting not just of you, but the very resources of our planet for short-term profits, destroying what left of democracy societies, turning warfare into face recognition, stimulating inequality, invading our private lives, determining our futures without any legal restrictions or transparency, or recourse.

The rapid evolution of AI and AI agents embedded in systems and devices in the Internet of Things will lead to hyper-stalking, influencing and shaping of voters, and hyper-personalized ads, and will create new ways to misrepresent reality and perpetuate falsehoods.

———

As they are self learning, the problem is who or what is creating them, who owns these algorithms and what if there should be any controls in their usage.

Lets ask some questions that need to be ask now not later concerning them. 

1) The outcomes the algorithm intended to make possible (and whether they are ethical)

2) The algorithm’s function.

3) The algorithm’s limitations and biases.

4) The actions that will be taken to mitigate the algorithm’s limitations and biases.

5) The layer of accountability and transparency that will be put in place around it.

There is no debate about the need for algorithms in scientific research – such as discovering new drugs to tackle new or old diseases/ pandemics, space travel, etc. 

Out side of these needs the promise of AI is that we could have evidence-based decision making in the field:

Helping frontline workers make more informed decisions in the moments when it matters most, based on an intelligent analysis of what is known to work. If used thoughtfully and with care, algorithms could provide evidence-based policymaking, but they will fail to achieve much if poor decisions are taken at the front.

However, it’s all well and good for politicians and policymakers to use evidence at a macro level when designing a policy but the real effectiveness of each public sector organisation is now the sum total of thousands of little decisions made by algorithms each and every day.

First (to repeat a point made above), with new technologies we may need to set a higher bar initially in order to build confidence and test the real risks and benefits before we adopt a more relaxed approach. Put simply, we need time to see in what ways using AI is, in fact, the same or different to traditional decision making processes.

The second concerns accountability. For reasons that may not be entirely rational, we tend to prefer a human-made decision. The process that a person follows in their head may be flawed and biased, but we feel we have a point of accountability and recourse which does not exist (at least not automatically) with a machine.

The third is that some forms of algorithmic decision making could end up being truly game-changing in terms of the complexity of the decision making process. Just as some financial analysts eventually failed to understand the CDOs they had collectively created before 2008, it might be too hard to trace back how a given decision was reached when unlimited amounts of data contribute to its output.

The fourth is the potential scale at which decisions could be deployed. One of the chief benefits of technology is its ability to roll out solutions at massive scale. By the same trait it can also cause damage at scale.

 In all of this it’s important to remember that while progress isn’t guaranteed transformational progress on a global scale normally takes time, generations even, to achieve but we pulled it off in less than a decade and spent another decade pushing the limits of what was possible with a computer and an Internet connection and, unfortunately, we are beginning running into limits pretty quickly such as.

No one wants to accept that the incredible technological ride we’ve enjoyed for the past half-century is coming to an end, but unless algorithms are found that can provide a shortcut around this rate of growth, we have to look beyond the classical computer if we are to maintain our current pace of technological progress.

A silicon computer chip is a physical material, so it is governed by the laws of physics, chemistry, and engineering.

After miniaturizing the transistor on an integrated circuit to a nanoscopic scale, transistors just can’t keep getting smaller every two years. With billions of electronic components etched into a solid, square wafer of silicon no more than 2 inches wide, you could count the number of atoms that make up the individual transistors.

So the era of classical computing is coming to an end, with scientists anticipating the arrival of quantum computing designing ambitious quantum algorithms that tackle maths greatest challenges an Algorithm for everything.

———–

Algorithms may be deployed without any human oversight leading to actions that could cause harm and which lack any accountability.

The issues the public sector deals with tend to be messy and complicated, requiring ethical judgements as well as quantitative assessments. Those decisions in turn can have significant impacts on individuals’ lives. We should therefore primarily be aiming for intelligent use of algorithm-informed decision making by humans.

If we are to have a ‘human in the loop’, it’s not ok for the public sector to become littered with algorithmic black boxes whose operations are essentially unknowable to those expected to use them.

As with all ‘smart’ new technologies, we need to ensure algorithmic decision making tools are not deployed in dumb processes, or create any expectation that we diminish the professionalism with which they are used.

Algorithms could help remove or reduce the impact of these flaws.

So where are we.

At the moment modern algorithms are some of the most important solutions to problems currently powering the world’s most widely used systems.

Here are a few. They form the foundation on which data structures and more advanced algorithms are built.

Google’s PageRank algorithm is a great place to start, since it helped turn Google into the internet giant it is today.

The PageRank algorithm so thoroughly established Google’s dominance as the only search engine that mattered that the word Google officially became a verb less than eight years after the company was founded. Even though PageRank is now only one of about 200 measures Google uses to rank a web page for a given query, this algorithm is still an essential driving force behind its search engine.

The Key Exchange Encryption algorithm does the seemingly impo

Backpropagation through a neural network is one of the most important algorithms invented in the last 50 years.

Neural networks operate by feeding input data into a network of nodes which have connections to the next layer of nodes, and different weights associated with these connections which determines whether to pass the information it receives through that connection to the next layer of nodes. When the information passed through the various so-called “hidden” layers of the network and comes to the output layer, these are usually different choices about what the neural network believes the input was. If it was fed an image of a dog, it might have the options dog, cat, mouse, and human infant. It will have a probability for each of these and the highest probability is chosen as the answer.

Without backpropagation, deep-learning neural networks wouldn’t work, and without these neural networks, we wouldn’t have the rapid advances in artificial intelligence that we’ve seen in the last decade.

Routing Protocol Algorithm (LSRPA) are the two most essential algorithms we use every day as they efficiently route data.

The two most widely used by the Internet, the Distance-Vector Routing Protocol Algorithm (DVRPA) and the Link-State traffic between the billions of connected networks that make up the Internet.

Compression is everywhere, and it is essential to the efficient transmission and storage of information.

Its made possible by establishing a single, shared mathematical secret between two parties, who don’t even know each other, and is used to encrypt the data as well as decrypt it, all over a public network and without anyone else being able to figure out the secret.

Searches and Sorts are a special form of algorithm in that there are many very different techniques used to sort a data set or to search for a specific value within one, and no single one is better than another all of the time. The quicksort algorithm might be better than the merge sort algorithm if memory is a factor, but if memory is not an issue, merge sort can sometimes be faster;

One of the most widely used algorithms in the world, but in that 20 minutes in 1959, Dijkstra enabled everything from GPS routing on our phones, to signal routing through telecommunication networks, and any number of time-sensitive logistics challenges like shipping a package across country. As a search algorithm, Dijkstra’s Shortest Path stands out more than the others just for the enormity of the technology that relies on it.

——–

At the moment there are relatively few instances where algorithms should be deployed without any human oversight or ability to intervene before the action resulting from the algorithm is initiated.

The assumptions on which an algorithm is based may be broadly correct, but in areas of any complexity (and which public sector contexts aren’t complex?) they will at best be incomplete.

Why?

Because the code of algorithms may be unviewable in systems that are proprietary or outsourced.

Even if viewable, the code may be essentially uncheckable if it’s highly complex; where the code continuously changes based on live data; or where the use of neural networks means that there is no single ‘point of decision making’ to view.

Virtually all algorithms contain some limitations and biases, based on the limitations and biases of the data on which they are trained.

 Though there is currently much debate about the biases and limitations of artificial intelligence, there are well known biases and limitations in human reasoning, too. The entire field of behavioural science exists precisely because humans are not perfectly rational creatures but have predictable biases in their thinking.

Some are calling this the Age of Algorithms and predicting that the future of algorithms is tied to machine learning and deep learning that will get better and better at an ever-faster pace. There is something on the other side of the classical-post-classical divide, it’s likely to be far more massive than it looks from over here, and any prediction about what we’ll find once we pass through it is as good as anyone else’s.

It is entirely possible that before we see any of this, humanity will end up bombing itself into a new dark age that takes thousands of years to recover from.

The entire field of theoretical computer science is all about trying to find the most efficient algorithm for a given problem. The essential job of a theoretical computer scientist is to find efficient algorithms for problems and the most difficult of these problems aren’t just academic; they are at the very core of some of the most challenging real world scenarios that play out every day.

Quantum computing is a subject that a lot of people, myself included, have gotten wrong in the past and there are those who caution against putting too much faith in a quantum computer’s ability to free us from the computational dead end we’re stuck in.

The most critical of these is the problem of optimization:

How do we find the best solution to a problem when we have a seemingly infinite number of possible solutions?

While it can be fun to speculate about specific advances, what will ultimately matter much more than any one advance will be the synergies produced by these different advances working together.

Synergies are famously greater than the sum of their parts, but what does that mean when your parts are blockchain, 5G networks, quantum computers, and advanced artificial intelligence?

DNA computing, however, harnesses these amino acids’ ability to build and assemble itself into long strands of DNA.

It’s why we can say that quantum computing won’t just be transformative, humanity is genuinely approaching nothing short of a technological event horizon.

Quantum computers will only give you a single output, either a value or a resulting quantum state, so their utility solving problems with exponential or factorial time complexity will depend entirely on the algorithm used.

One inefficient algorithm could have kneecapped the Internet before it really got going.

It is now oblivious that there is no going back.

The question now is there anyway of curtailing their power.

This can now only be achieved with the creation of an open source platform where the users control their data rather than it being used and mined.  (The uses can sell their data if the want.)

This platform must be owned by the public, and compete against the existing platforms like face book, twitter, what’s App, etc,   protected by an algorithm that protects the common values of all our lives – the truth. 

Of course it could be designed by using existing algorithms which would defeat its purpose. 

It would be an open net-work of people a kind of planetary mind that has to always be funding biosphere-friendly activities.

A safe harbour perhaps called the New horizon.   A digital United nations where the voices of cooperation could be heard.   

So if by any chance there is a human genius designer out there that could make such a platform he might change the future of all our digitalized lives for the better.   

All human comments appreciated. All like clicks and abuse chucked in the bin.

Contact: bobdillon33@gmail.com  

 

 

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THE BEADY EYE ASK’S: IS OUR BIOLOGICAL REASONING BEING REPLACED BY DIGITAL REASONING.

03 Wednesday May 2023

Posted by in 2023 the year of disconnection., Algorithms., Artificial Intelligence., Civilization., Digital age., DIGITAL DICTATORSHIP., Digital Friendship.

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(Ten minute read)

We all know that massive changes need to be made to the way we all live on the planet, due to climate change.

However most of us are not aware of the effects that artificial intelligence in having on our lives.

This post looks at our changing understanding of ourselves, due digitalized reasoning, which is turning us into digitalized

citizens, relying more on and more on digitalized reasoning for all aspects of living.

Does it help us understand what is going on? Or to work out what we can do about it?

It could be said that the climate is beyond our control,  but AI remains within the realms of control.

Is this true?

It is true that the human race is in grave danger of stupidity re climate change which if not addressed globally could cause our extinction.

We know that using technology alone will not solve climate change, but it is necessary to gather information about what is happing to the planet, while our lives are monitored in minute detail by algorithms for profit.

There are many reasons why this is happing and the consequences of it will be far reaching and perhaps as dangerous if not more than what the climate is and will be bringing.

——–

While biology reasoning usually starts with an observation leading to a logical problem-solving with deductive conclusions

usually reliable, provided the premises are true.

Digital AI reasoning on the other hand is a cycle rather than any logically straight line.

It is the result of one go-round becomes feedback that improves the next round of question asking to ask machine

learning, with all programs and algorithms learning the result instantly.

Example  One Drone to the next. One high-frequency trade to the next. One bank loan to the next. One human to the next.

Another words.

Digital Reasoning, is combining artificial intelligence and machine learning with all the biases program’s in the code in the first place without any supervision oversight, or global regulation

It combined volumes of data in real-time to remove the propose a hypothesis, to make a new hypothesis without conclusively prove that it’s correct.  An iterative process of inductive reasoning extracts a likely (but not certain) premise from specific and limited observations. There is data, and then conclusions are drawn from the data; this is called inductive logic/ reasoning. 

Inductive reasoning does not guarantee that the conclusion will be true.

In inductive inference, we go from the specific to the general. We make many observations, discern a pattern, make a generalization, and infer an explanation or a theory.

In other words, there is nothing that makes a guess ‘educated’ other than the learning program.

The differences between deductive reasoning and inductive reasoning.

Deductive reasoning is a top-down approach, while inductive reasoning is a bottom-up approach.

Inductive reasoning is used in a number of different ways, each serving a different purpose:

We use inductive reasoning in everyday life to build our understanding of the world.

Inductive reasoning, or inductive logic, is a type of reasoning that involves drawing a general conclusion from a set of specific observations. Some people think of inductive reasoning as “bottom-up” logic the  one logic exercise we do nearly every day, though we’re scarcely aware of it. We take tiny things we’ve seen or read and draw general principles from them—an act known as inductive reasoning.

Inductive reasoning also underpins the scientific method: scientists gather data through observation and experiment, make hypotheses based on that data, and then test those theories further. That middle step—making hypotheses—is an inductive inference, and they wouldn’t get very far without it.

Inductive reasoning is also called a hypothesis-generating approach, because you start with specific observations and build toward a theory. It’s an exploratory method that’s often applied before deductive research.

Finally, despite the potential for weak conclusions, an inductive argument is also the main type of reasoning in academic life.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning, where you start with specific observations and form general conclusions.

Deductive reasoning is used to reach a logical and true conclusion. In deductive reasoning, you’ll often make an argument for a certain idea. You make an inference, or come to a conclusion, by applying different premises. Due to its reliance on inference, deductive reasoning is at high risk for research biases, particularly confirmation bias and other types of cognitive bias like belief bias.

In deductive reasoning, you start with general ideas and work toward specific conclusions through inferences. Based on theories, you form a hypothesis. Using empirical observations, you test that hypothesis using inferential statistics and form a conclusion.

In practice, most research projects involve both inductive and deductive methods.

However it can be tempting to seek out or prefer information that supports your inferences or ideas, with inbuilt bias creeping into  research. Patients have a better chance of surviving, banks can ensure their employees are meeting the highest standards of conduct, and law enforcement can protect the most vulnerable citizens in our society.

However, there are important distinctions that separate these two pathways to a logical conclusion of what Digitized reasoning is going to do or replace human reasoning.

First there is no debate that Computers have done amazing calculations for us, but they have never solved a hard problem on their own.

The problem is the communication barrier between the language of humans and the language of computers.

A programmer can code in all the rules, or axioms, and then ask if a particular conjecture follows those rules. The computer then does all the work. Does it  explain its work.  No. 

All that calculating happens within the machine, and to human eyes it would look like a long string of 0s and 1s. It’s impossible to scan the proof and follow the reasoning, because it looks like a pile of random data. “No human will ever look at that proof and be able to say, ‘I get it.’ They operate in a kind of black box and just spit out an answer.

 Machine proofs may not be as mysterious as they appear.  Maybe they should be made to explain. 

I can see it becoming standard practice that if you want your paper/ codes/ algorithm to be accepted, you have to get it past an automatic checker – re transparency because efforts at the forefront of the field today aim to blend learning with reasoning.

After all, if the machines continue to improve, and they have access to vast amounts of data, they should become very good at doing the fun parts, too. “They will learn how to do their own prompts.”

company will enable customers to spot risks before they happen, maximize the scalability of supervision teams, and uncover strategic insights from large

The Limits of Reason.

Neural networks are able to develop an artificial style of intuition, leverage communications data to spot risks before they happen, and identify new insights to drive fresh growth initiatives, creating a large divide between firms investing to harvest data-driven insights and leverage data to manage risk, and those who are falling behind.

This will bear out in earnings and share prices in the years to come.

The challenge of automating reasoning in computer proofs as a subset of a much bigger field:

Natural language processing, which involves pattern recognition in the usage of words and sentences. (Pattern recognition is also the driving idea behind computer vision, the object of Szegedy’s previous project at Google.)

Like other groups, his team wants theorem provers that can find and explain useful proofs. He envisions a future in which theorem provers replace human referees at major journals.

Josef Urban thinks that the marriage of deductive and inductive reasoning required for proofs can be achieved through this kind of combined approach. His group has built theorem provers guided by machine learning tools, which allow computers to learn on their own through experience. Over the last few years, they’ve explored the use of neural networks — layers of computations that help machines process information through a rough approximation of our brain’s neuronal activity. In July, his group reported on new conjectures generated by a neural network trained on theorem-proving data.

Harris disagrees. He doesn’t think computer provers are necessary, or that they will inevitably “make human mathematicians obsolete.” If computer scientists are ever able to program a kind of synthetic intuition, he says, it still won’t rival that of humans.

“Even if computers understand, they don’t understand in a human way.”

I say the current Ukraine Russian war is the labourite of AI reasoning this war with all its consequence is telling us that AI should never be allowed near nuclear weapons or….dangerous pathogens.

An inductive argument is one that reasons in the opposite direction from deduction.

Given some specific cases, what can be inferred about the underlying general rule?

The reasoning process follows the same steps as in deduction.

The difference is the conclusions: an inductive argument is not a proof, but rather a probalistic inference.

When scholars use statistical evidence to test a hypothesis, they are using inductive logic.

The main objective of statistics is to test a hypothesis. A hypothesis is a falsifiable claim that requires verification.

  • Most progress in science, engineering, medicine, and technology is the result of hypothesis testing.

When a computer uses statistical evidence to test a hypothesis it’s assumption may or may not be true. To prove something is correct, we first need to take reciprocal of it and then try to prove that reciprocal is wrong which ultimately proves something is correct.

Finally this post has been written or generated by a human reasoning, that see the dangers of losing that reasoning to Digital reasoning of Enterprise Spock.

All human comments appreciated. All like clicks and abuse chucked in the bin.

Contact: bobdillon33@gmail.com

THE BEADY EYE ASKS WHICH OF OUR HUMAN ABILITIES IS THE MOST POWERFULL?

09 Wednesday Nov 2022

Posted by in Algorithms., Artificial Intelligence., Dehumanization., Digital age., DIGITAL DICTATORSHIP., Digital Friendship., HUMAN ABILITIES., Human Collective Stupidity., Human Exploration., HUMAN INTELLIGENCE, Human values., Humanity., Language, Modern Day Communication., Modern day life.

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( Six minute read)

There are 52 distinct human abilities, that cover a broad spectrum of perceptual, cognitive, and motor abilities.

However in this post we are not going to exam each and every one.

So rather than start from the fifty-two human abilities let’s exam how the human ability is interacting with AI and how the AI is interacting with the environment.

We defined AI in terms of sense, think, and act that correspond to the perceptual, cognitive, and motor abilities of humans.

We have two extremes, where at one end the AI is independently taking actions and making decisions; and at the other end we have a human-in-the-loop system, where the human is ultimately responsible for the decisions and actions, but is using the AI to inform his or her decisions and actions.

We have four distinct ways by which AI is being used today and has been used in the past:

Automated Intelligence: Assisted Intelligence: Augmented Intelligence: Autonomous Intelligence:

As we go through these four types of intelligences — from automated to assisted to augmented to autonomous, we require progressively more scrutiny, governance, and oversight.

Why?

Because today, AI is all-pervasive but still in its infancy .It is expected to be one billion times more powerful than human intelligence.

With every passing day, AI solutions are getting more powerful.  From conducting wars with drones, to the majority of the online content that we consume in our daily lives is  AI -generated.

If we have a look at our surroundings, we must be convinced that it is not just the future, rather it is the present.

To days world is run on software. It has become the lifeblood of the modern economy, by destroying our ability to understand the meaning of words and written language?

The way AI is getting incorporated into our existence is more than fascinating.

OUR ELECTRONIC AGE HAS GIVEN RISE TO AN EXPLOSION IN LANGUAGE THAT IS HAVING A DIFFERENT EFFECT ON ALL OF US.

Voice assistant is one of the most powerful AI software agents people have ever worked on.

Is artificial intelligence the most powerful thing that humans have ever created?

Because we are entering a world of generative language and remember that AI has little or no human oversight once it is in use.

70–80% of our thought process is influenced by our external environment or distractions so we are loosing control over our thought process.

Thanks to AI we are now showered with pictures and content selected by AI every minute of our lives.

Are emoji a step back to Egyptian Hieroglyphs?

Emoji meanings can be incredibly confusing.

Is he crying from laughter, or just crying?

They appear in advertising, in captions, and in videos, but their meaning and misinterpretations are extremely common.

Despite its similarity to words like “emotion” and “emoticon,” the word “emoji” is actually a Japanese portmanteau of two words: “e,” meaning picture, and “moji,” meaning character.

close up of emojis keyboard on an ipad or iphone in dark mode

The language of  emojis wont allow us to look into the past as words do with written history.

Words are enormously powerful tools that most people don’t fully appreciate like words of wisdom, healing, and life to others—words that edify richly, identify beautifully; words that multiply health and wholeness.

Language is a neurocognitive tool by which we can:

· Transmit and exchange information.

· Influence and control the behaviour of others.

· Establish and demonstrate social cohesion, and Imagine and create new ways of experiencing life.

In fact, we can’t stop ourselves from reading when we see what looks like a word.

We understand others best when we can identify the purpose that frames the words.  AI on the other hand has no idea what a word imparts. It cannot “read” other people by the words they use and the way they use them.

We are becoming non attuned to the nuances of words.

To give this some perspective Shakespeare had around a hundred thousand words to chose from.

———————————————

Neuroplasticity is probably the most powerful attribute we have. 

We hold the future of all species in our very hands, including our own, but it is our DNA and environment that control us with

the power of words fundamental to life—and they can be instrumental in causing things to die.

We all have heard that a picture is world a thousand words but this seems not to be true when it comes to climate change.

Compassion:

With it and the above attribute we can achieve great good in the world, if we choose to do so.

Creativity:

To be creative, you need to be able to look at things in a new way or with different and new perspectives.

Allows for amazing human social and natural progress when combined with the other two above.

Greed /Money:

It is often said that money is the root of all evil but greed is an inner condition. By contrast, the virtue of generosity is most present not only when we share, but enjoy doing so. Any decision to take from others or to enrich yourself at the expense of others is an example of greed.

A deeper understanding of greed can help us to see that it is not only material goods that we desire money for, but also the security and independence that wealth can bring.

Where are we, what should change, and how?

We can start with a simple thought exercise.

You exist on Earth and, therefore, are in some location, right? So, from where you live, what do you see beyond Earth?

Get off the Smartphone. Dump emoji’s that communicate illiteracy.

Read to increase the understanding of imagination, the meaning of words, how they are used, when to use them.

Education, Education and more education to enhance creativity.

Money is only an instrumental good. that is, it is only good for the sake of something else, namely, what we can get with it.

Our combined inability to recognize this is down to the fact that we have created a Capitalist World on the foundations of greed, a culture of I am all Right Jack.  We’re being fleeced. It is disgusting, and everyone should be outraged that we are unwilling to share wealth to save our world.

comments appreciated. All like clicks and abuse chucked in the bin.Apple celebrates World Emoji Day with over 60 new emojis – including ...

Contact: bobdillon33@gmail.com

THE BEADY EYE SAYS. WE ARE NOW ENETERING A PERIOD WITHOUT THE ABILITY TO TRULEY EXPERENCE WHAT WE ALREADY HAVE..

28 Saturday May 2022

Posted by in 2022: The year we need to change., Artificial Intelligence., Communication., Desensitization., Digital age., DIGITAL DICTATORSHIP., Digital Friendship., Disconnection., Freedom of Speech, Future Education., Google Knowledge., HUMAN INTELLIGENCE, Human values., Humanity., Imagination., INTELLIGENCE., Life., MISINFORMATION., Modern day life., Modern day Slavery, Our Common Values., Purpose of life., Real life experience's, Robot citizenship., Social Media, Social Media Regulation., State of the world, Technology v Humanity, The common good., The essence of our humanity., The Obvious., The state of the World., The world to day., THE WORLD YOU LIVE IN., THIS IS THE STATE OF THE WORLD.  , Unanswered Questions., Universal values., VIRTUAL REALITY., We can leave a legacy worthwhile., What Needs to change in the World, Where's the Global Outrage.

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Ten minutes read.

AS YOU KNOW IT IS NOT POSSIBLE TO EXPERIENCE EVERYTHING LIFE HAS TO OFFER. EVEN IF IT WAS POSSIBLE THERE ARE MANY EXPERIENCES WE WOULD WISH TO AVOID AT ALL COSTS.

SUCH AS THE LATEST MASS KILLINGS IN TEXAS, THE CURRENT WARS, POVERTY, BEING BURIED ALIVE, RAPED, JAILED FOR LIFE, CANCER, AND GOING BLIND NOT TO MENTION A SELECTION OF DISEASES. 

The list is endless, but there is another aspect of the matter.

Every genuine experience has an active side that changes to some degree the objective conditions under which experiences are had and I believe that experiences are the basis upon which society progresses.

Experience does not go on simply inside a person they influence the formation of attitudes of desire and purpose, but they do not define a society as either developed or civilized.

However, it is experience alone that guides decisive action through hands-on. They teach you how to apply learnings to produce favorable outcomes regardless of any concepts you might have learned.

In a world that values differentiation more than anything else, experience lets you craft your own story while the rest of the people stick to an old and obsolete script.

Experience gives you access to a huge network of people who have been there and done that but the most valuable contribution of experience comes from the self-awareness it gives you.

Experience vs education is a constant battle.

A mixture of experience and education is the best. But the stats beg to differ.

                             ************************

Across the globe, mobile devices dominate in terms of total minutes spent online. As a result influence, Social media. It is now being used in ways that shape politics, business, world culture, education, careers, innovation, and more to rewire human society. 

Because social networks feed off interactions among people, they become more powerful as they grow. Enabled people of all ages to just google things, not actually try to remember or memorize information.

The phones have become our masters. It was intended to make our lives easier in terms of communication, now it has become an extension of our hands.

Unregulated Social media is promoting social ills.

LIVING IN SYSTEMS THAT ARE PREVENTING US FROM BECOMING WHO WE TRULY ARE. WE ARE LOSING OUR INDIVIDUAL AND COLLECTIVE CULTURE LIVING IN A WORLD WHERE EXPERIENCING REAL LIFE IS BECOMING VIRTUALLY IMPOSSIBLE. Where Most Needed

 As a result, the real problems of the world are being ignored. 

Increased visibility of issues has shifted the balance of power from the hands of a few to the masses but this awareness is not translating into real change because people are given options that absolve them from the responsibility to act. Injustice is one of the biggest issues in today’s society, there are many consequences.

Technology is anything that makes life simpler but the cellphone as a branch of technology is destroying us.

We need to think much deeper and critically to be certain that we have the authority over our own lives. When you’re not in a room with someone, it can be hard to express your personality and how you could fit into a new environment.

Let’s start with a few quotes.  

“Without sensibility, no object would be given to us, and without understanding, none would be thought. Thoughts without content are empty, intuitions without concepts are blind”.

“Experience arises together with theoretical assumptions, not before them, and an experience without theory is just as incomprehensible as is (allegedly) a theory without experience.”
Paul Karl Feyerabend, Against Method pg 151. Against Method (1975)

“Experience by itself teaches nothing…Without theory, experience has no meaning. Without theory, one has no questions to ask. Hence without theory, there is no learning.”
W. Edwards Deming, The New Economics for Industry, Government, Education (1993)

Experience is simply the name we give our mistakes. Oscar Wild

                              ******************************

There is so much more to life than what you experience right now.

Here are a few reasons why you should value experience over education. 

Experiencing’ attaches itself to nothing while at the same time being everything.

Experiencing’ does not get concerned about not remembering. ‘Experiencing’ has no need to remember.

Experiencing’ holds nothing yet is aware deeply of everything.

When we realize there is nothing to capture we relax in the awareness of just ‘experiencing’. 

Experiencing ‘experiencing’ is the Fullness. When ‘It’ Is all here where else could we go?!

Answering interview questions with no experience can be a daunting prospect.

Everyone has to start somewhere in a world where doing is highly valued. It’s one of the most well-known conundrums of the career world. No experience, no job. No job, no experience.

EVIDENCE THAT OUR CULTURE IS IN DECLINE.

This becomes obvious to those who are willing to actually travel the world learning about the cultures of others.  They gain a more reliable picture of life as it is lived.

The most important thing that one can do to rise above the insanity of this world, is to be willing to get educated by those who have zero financial interest in their taking their stand for what they believe.

Just because you don’t have ‘direct’ experience, it doesn’t mean you don’t have anything to offer.

It’s been said that information is power. Without a means of distributing information, people cannot harness its power. Ultimately, sharing is about getting people to see and respond to content. 

Birds of a feather tend to hang out in the same ponds. And the best way to prove you’re a duck is to spend as much time as possible in the right pond.

History does not lie – it is just that the masses do not know their history.

There is a line by Verlaine that I will not remember again.
There is a street nearby that is off-limits to my feet.
There is a mirror that has seen me for the last time.
There is a door I have closed until the end of the world.
Among the books in my library (I’m looking at them now)
Are some I will never open.
This summer I will be fifty years old.
Death is using me up, relentlessly.
—from Inscriptions (Montevideo, 1923) by Julio Platero Haedo

Where are?

Stormzy wore a flat jacket in (2019) at Glastonbury, and Abba appeared digitally yesterday.

What are days for?
Days are where we live.
They come, they wake us
Time and time over. Larkin 

All human comments are appreciated. All like clicks and abuse chucked into the bin.

 

 

THE BEADY EYE SAYS. WE ARE CREATING A DANGEROUS DIGITAL INVISABLE WORLD?

20 Thursday Jan 2022

Posted by in #whatif.com, 2022: The year we need to change., Algorithms., Artificial Intelligence., Civilization., Dehumanization., Digital age., DIGITAL DICTATORSHIP., Digital Friendship., Fourth Industrial Revolution., Human Collective Stupidity., Human values., Humanity., Modern day life., Modern day Slavery, Our Common Values., Post-Covid-19, Robot citizenship., Speed of technology., Technology, Technology v Humanity, The common good., The essence of our humanity., The Internet., THE NEW NORM., The Obvious., The pursuit of profit., The world to day., THE WORLD YOU LIVE IN., TRACKING TECHNOLOGY., Unanswered Questions., WHAT IS TRUTH, What Needs to change in the World, Where's the Global Outrage.

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( Fifteen-minute read) 

We all know that there is an invisible world and that today it is undeniably digital.

This invisible world is becoming both powerful and dangerous leading to digitalizing without a system of oversight of the way we operate in the world, resulting in not just hidden powers but a decoupling between human rights and democracy.

On one hand, digital democracy, or eDemocracy, uses the internet, social media, and technology to improve our democratic systems of governance. 

On the other with our electronic overlords, ( Smartphones, Pads, Apple watches, TV, Web Services), this world of invisibility is been driven by non-accountable, non-transparent commerce, operating profit-seeking algorithms, with self-learning data collection codes, that no one comprehends.

As our day-to-day lives are increasingly immersed in technology, it is easy to lose perspective on things that matter. 

The capitalist world of profit and power is disappearing underground.

New technologies – from social media and GPS systems to artificial intelligence and digital twins – make the planet we inhabit unrecognizable from even 20 years ago and it’s only going to get faster, changing how we live.

The rise of the sharing economy, online marketplaces, and digital platforms are shattering old barriers and reducing the distances between industries, societies, and places, all of which are without adequate regulations are vanishing from scrutiny and accountability. 

                             ——————

While it’s true that today, leaders need to deal with unprecedented changes and an unpredictable and challenging future due to the Fourth Industrial Revolution, Climate change, and the covid pandemic they need to be more agile, to deal with sudden changes and challenges that any one of these will bring.  

Why?

Because the status quo as the inertia of past success can be crippling for the future.

The paradox of leadership lies in staying focused on the present, while also visualizing the future and creating a roadmap to reach it.

This is a major problem requiring Statmanship on a global scale.

                                —————–  

Why is all of this happening now?

What’s interesting about this question is, there’s no answer to that question.

What I think is so true about that is, with technology even nonconformists are conforming.

Why?

Because these days it’s difficult to not see how real the invisible world is affecting our lives and the systems that govern life.

Today, with the covid pandemic’s we see it is very rare that you find someone that’s not influenced by anyone else.

You don’t have to be a digital native to behave like one.

It’s the invisible world we want to connect with in order to maintain the magic in life.

Why?

Because a world without emotions will be a sterile world.

Yes, the invisible world is real.

It is the limited life of a limited mind.

Increasingly, this limited value is delivered through new cross-sector, outcome-based propositions, rather than traditional sector-specific products and services.

We have all experienced trying to get to speak to a human to solve a problem with a service – press one press two – listen to music – you inquiry- will be answered – press 3 if – till you give up.

If you can spell it you can’t enter it. A society that is dependent on technology can create inequality.

                                           ————-

To stop this invisible world people must take ownership of things as the digital world is not about technology, but people.

At a time when geopolitical tensions are on the rise are at their highest level this century.  And this turbulence is escalating.  Even nuclear non-proliferation can no longer be taken for granted.

At the same time, we see trade and technological conflicts that fracture world markets, undermine growth and widen inequalities.

And all the while, our planet is on fire.  The climate crisis rages on.

With Climate Change, we are risking a ‘great fracture’ between world powers, each with their own internet and AI strategy, as well as dominant currency, trade, and financial rules, and contradictory geopolitical and military views.

With dwindling natural resources, an unstable world climate, viruses on the rampart, not to mention the effects of pandemics on world trade, inequality, the world does not need politicians that do not think of the next election but statesmen of the next generation.      

 It is crucial to ensuring a united world.

Those yet to be connected remain cut off from the benefits of this new era and remain further behind. People need money to access the internet and buy the latest devices.

By 2050 there will be 9 billion people to feed, clothe, transport, employ and educate.

Maybe that’s not really bad when you think of what’s coming next. You couldn’t call it a fully digital world yet. It’s not even close.

However, there’s room to dream about building the world we want, instead of the one we’re turning into. 

As we pursue unlimited growth, our limitless consumption threatens to crowd out everything else on Earth. We are warming the climate, overspending our financial resources, requiring more fresh water than we have, increasing income inequality, diminishing other species, and triggering shockwaves whenever we can’t cope with a problem. Billions are committed to a growth-driven world economy.

Our world is full of screens. We keep them in our hands, purses, and pockets, next to our beds while we sleep, and surround ourselves with screens on our desks and countertops. Our TV sets are morphing into interactive screens as we put them online so they display everything for free.

What if that networked system brought everyone the world’s best services, resources, and knowledge-based on what we do, as a normal part of everyday life?

                                           ————————

The top-down approach is no longer sustainable in the Economic/ Power/ or Democracy Capital Accountability. Leadership needs to be vigilant and create a long-term sustainable value proposition for all stakeholders.

The same technologies are giving rise to new business models, with organizations using digital to create and monetize new forms of value. Disruptions in the digital world occur at a phenomenal rate.

They have the power to impact the way entire industries operate reshaping entire industries with profit-seeking algorithms.

Although giving up your data was once an afterthought when gaining access to the newest internet services such as Facebook there aren’t many great options available to limit what is seen and known about you online.

YOU BECOME A DIGITAL FORM OF YOURSELF IN THE VIRTUAL WORLD OF THE INTERNET.  

How do we define what a digital human is?

Worthless, a form of entertainment to have conversations with yourself without being able to show emotion and behavior as a real human. 

So, is the invisible world the real world?

Hard to say, but I think it’s what makes the visible world worth living in.

When someone dies, the essence of that being merely inhabited that form – the life within the form was always invisible.

Digital leaders will have the power to shape the future of our world.

When we want to believe, there is still time to interrupt the announced disappearances of so many plant and animal species which, if we are not careful, will lead to our own end.

This situation cannot go on. It is our common duty to avoid it.

While risks intersect and technologies develop quickly, too often our institutions for governing international security remain reactive and slow-moving.

ALL HUMAN COMMENTS ARE APPRECIATED. ALL LIKE CLICKS AND ABUSE CHUCKED IN THE BIN.

THE BEADY EYE SAYS: ITS TO LATE TOO REGULATE ARTIFICAL INTELLIGENCE – SO WHAT IF ANYTHING CAN BE DONE?

18 Thursday Feb 2021

Posted by in #whatif.com, 2021. The year for change., Algorithms., Artificial Intelligence., Big Data., COVID-19, Dehumanization., Digital age., DIGITAL DICTATORSHIP., Digital Friendship., Disconnection., Emotions., Face Recognition., Facebook, Fake News., Fourth Industrial Revolution., Google, Inequality, Lock Down., Modern day life., Modern day Slavery, POST COVID-19., Quantum computers., Reality., Robot citizenship., Social Media, Social Media Regulation., Technology, Technology v Humanity, The common good., The essence of our humanity., The Future, The Obvious., The pursuit of profit., The state of the World., The world to day., THE WORLD YOU LIVE IN., THIS IS THE STATE OF THE WORLD.  , TRACKING TECHNOLOGY., Twitter, Unanswered Questions., VALUES, We can leave a legacy worthwhile., WHAT IS TRUTH, What Needs to change in the World, Where's the Global Outrage.

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  ( A Thirty-minute read)  Do you have a right to believe what you want? Yes, of course, but we now live in an Algorithmic driven world that is blurring the boundaries and amplifying the social tensions that are festering under the surface.  The problem is that we are allowing the building of technologies, that are making consequential decisions about people’s lives. AI is shaping people’s lives on a daily basis, but it’s an open question whether AI will become a trusted advisor or even a corrupting force.

It’s not COVID-19 that will kill us all its Profit-seeking algorithms.

However, here in this post, my main concern is whether the AI techniques will develop into quantum algorithms that will be totally out of control.  If artificial general intelligence is on the not too distant horizon, surely we should be ensuring that it is not owned by anyone corporation and that at its core it respects our core values. To achieve this we cannot surely let wealth be concentrated in fewer and fewer hands, or to be let to the marketplace, or any world organization that is not totally transparent and self-financing. We therefore as a matter of grave urgency need a new world organization that vets all technology, and algorithms. (See previous posts) As long as the ALGORITHMS don’t go to war with each other and cause something even more difficult to diagnose than a crash on the stock markets they are safe is as naive as saying ” It’s going to be Great.” AlGORITHMS are increasingly in charge of a world that is precious to us all. Basically, we’re entering the era of machines controlling everything. If we want to create new different societies with human dignity for all we need to do something about it. The difficulty of predicting the future is not just a cliche, it’s a basic fact of our existence. Part of the hypothesis of Singularity is that this difficulty is just going to get worse and worse. Yes, creating AGI ( Artificial General Intelligence) is a big and difficult goal, but according to known science, it is almost surely an achievable one. However, there are sound though not absolutely confident arguments that it may well be achievable within our lifetimes. If artificial general intelligence is on the not too distant horizon, surely we should be ensuring that it is not owned by anyone corporation and that at its core it respects our core values. If we think in months we focus on immediate problems such as the present-day wars, the Covid crisis, the Donald Trumps, the economy, if we think in decades, climate, growing inequality, the loss of jobs to automation are all presenting dangers. But if we look at life in total, science is converging on data processing and AI that is developing itself with algorithms. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. It won’t be long before we will not be unable to distinguish the real world from the virtual world. Since there is only one real world and there can be infinite virtual worlds the probability that you will inhabit this sole world is zero.  So it won’t matter whether computers will be conscious or not. Is starting to feel like it’s every man for himself, Is possible that right now, a global crisis is upon us, Without even knowing… And the virus may not be the biggest threat, but the crisis that follows, Everyday goods that keep us alive will be gone, I’m talking, food, freshwater, medicine, clothes, fuel… Intelligence is decoupling from consciousness and soon rather than later it will be consigned to Google, Facebook, Twitter, Smartphones, and the like to make decisions that are not possible to reverse.  You might think that the above is stupid but it won’t be long before we will be witnessing the most unequal societies in history.                                  —————————— We humans will soon be living with robots that process data without any subjective experiences or consciousness or moral opprobrium. As we watch robots, autonomous vehicles, artificial intelligence machines, and the like slowly (and sometimes rapidly) permeate our world, it’s not hard to imagine them going from permeating to taking over. Algorithms are increasingly determining our collective future. It will only matter what they think about you. We are already halfway towards a world where algorithms run everything. This is why many of the issues raised in this post will require close monitoring, to ensure that the oversight of machine learning-driven algorithms continues to strike an appropriate and safe balance between recognizing the benefits (for healthcare and other public services, for example, and for innovation in the private sector) and the risks (for privacy and consent, data security and any unacceptable impacts on individuals).                                     —————————— WHAT CAN GOVERNMENTS DO?  Please regulate AI, this is too dangerous. Given the international nature of digital innovation, governments, should establish audits of algorithms, introducing certification of algorithms, and charging ethics boards with oversight of algorithmic decisions. Why? They are bringing big changes in their wake. From better medical diagnoses to driverless cars, and within central governments where there are opportunities to make public services more effective and achieve long-term cost savings. However, the Government should produce, publish, and maintain a list of where algorithms with significant impacts are being used within the Central Government, along with projects underway or planned for public service algorithms, to aid not just private sector involvement but also transparency. Governments should not just simply accept what the developers of algorithms offer in return for data access. To this end, Governments should be at the forefront of the creation of a “statutory building code”, which describes mandatory safety and quality requirements for digital platforms. Social networks should be required by law to release details of their algorithms and core functions to trusted researchers, in order for the technology to be vetted. This Law should enable the enforcement of, 
  • forcing social networks to disclose in the news feed why content has been recommended to a user.
  • limiting the use of micro-targeting advertising messages.
  • making it illegal to exclude people from content on the basis of race or religion, such as hiding a spare room advert from people of color.
  • banning the use of so-called dark patterns – user interfaces designed to confuse or frustrate the user, such as making it hard to delete your account.
  • labeling the accounts of state-controlled news organizations.
  • limiting how many times messages can be forwarded to large groups, as Facebook does on WhatsApp.
If we took the premise that people should have a lawful right to be manipulated and deceived, we wouldn’t have rules on fraud or undue influence.                                 ———————————– To days Algorithms and where we are. As data accumulates, even more so now with Covid- 19 track and trace, and now working from home we have more centralized data depositories and large centralized AI models that work off centralized or decentralized data. How does the concentration of power affect this balance that impinges on individual liberty? Our democratic institutions and public discourse are underpinned by an assumption that we can at least agree on things that are true. Facebook, Twitter, and YouTube create algorithms that promote and highlight information. That is an active engineering decision. Regardless of whether Facebook, Twitter profits from hate or not, it is a harmful by-product of the current design and there are social harms that come from this business model. Platforms that monetize user engagement have a duty to their users to make at least a minimum effort to prevent clearly identified harms. We have to focus on the responsibility of platforms. Because people are being manipulated with objectively false information, there has to be some kind of accountability for platforms. Currently, these platforms are not neutral environments they have no common understanding that there are certain things that are manifestly true with algorithms making decisions about what people see or do not see. In most Western democracies, you do have the freedom of speech. But freedom of speech is not an entitlement to reach. You are free to say what you want, within the confines of hate speech, libel law, and so on. But you are not entitled to have your voice artificially amplified by technology. The way Facebook and other platforms approach this problem is: We’ll wait and see and figure out a problem when it emerges. Every other industry has to have minimum safety standards and consider the risks that could be posed to people, through risk mitigation and prevention. There are right now some objectively disprovable things spreading quite rapidly on Facebook. For example, that Covid does not exist and that the vaccine is actually to control the minds of people. These are all things that are manifestly untrue, and you can prove that. However, algorithms are much more prevalent than that- the Apple Face ID algorithm decides whether you are who you say you are. Algorithms limit people’s worldview, which can allow large population groups to be easily controlled. Social Media algorithms tuned to your desires and want’s ensures that everything on your feed will be of interest to you without you knowing what data these algorithms use and what they aim for. Conclusion.  We are already living with large AI platforms that are monopolizing the fruits of globalization with billions being left behind. With us accepting this as if natural.
  • It will be too late when we are asking ourselves. What’s more valuable – intelligence or consciousness? Then ask yourselves what happens to society, politics, and daily life when non-conscious but highly intelligent algorithms know us better than we know ourselves?
  • Whatever view one takes on artificial intelligence ethics. You can rest assured that we will see far more nut cases blowing themselves up, far more wars over finite resources, with vast movements of people.
We have to remember that self-regulation is not the same as having no regulation. Of course, the loudest arguments for and against something often have one thing in common. They are often made by people with no desire to compromise or understand the other side. I think self-regulation, in and of itself contemplates people in power, deciding how they will act. We have to accept from history that we cannot possibly predict all adverse consequences of technology and that’s because it is not just technology that has adverse consequences, but the context in which is applied, It is impossible to regulate AI while thinking about all of its potential adverse consequences.  The seeds for harm at the design stage, or at the development stage, or at the deployment stage. We don’t have to wait for the technology to become an application before we think of regulating it effectively.  There is a need to strengthen specific provisions to safeguard individual liberty and community rights when it comes to inferred data. There is a need to balance the trade-offs between the utility of AI and protecting privacy and data.  Self-regulation within the AI industry may not be enough since it may not solve the massive differential between the people developing the technology and the people affected by it. Machine learning is the next step that they are aiming for, with the algorithms deciding the input and output completely. Inherent political and economic power hierarchies between the state and citizens and within the private sector need to be addressed because the promise of globalization is a lie when it comes to AI and prosperity for all. Algorithms are being used in an ever-growing number of areas, in ever-increasing ways, however, like humans, they can produce bias in their results, even if unintentional. We are all becoming redundant with biotechnology becoming only available to the riches of us. I don’t think that AI per se can be regulated because today it is AI, tomorrow it will be Augmented Reality or Virtual Reality, and the day after tomorrow it may be something that we can’t even think of right now. So it is important to have checks and balances in the use and access to AI that go beyond just technological means. Why? Because they are also moving into areas where the benefits to those applying them may not be matched by the benefits to those subject to their ‘decisions’—in some aspects of the criminal justice system, for example. However, technology companies are not all the same, and nor is technology the only part of the media ecosystem. It is essential to ensure a whole society response to tackle these important issues. You could require algorithms to have a trigger TO SHUT OF – to stop misinformation or terrorist groups using social media as a recruiting platform. BUT who defines what counts as misinformation? It is no longer possible for humans to fact-check so the only course of action is a world Independent Universal Algorithm that is designed to establish fairness.  While “fairness” is much vaguer than “life or death,” I believe it can – and should – be built into all AI using their algorithm. Therefore every Social network should display a correction to every single person who was exposed to misinformation if independent fact-checkers identify a story as false. (Google’s search algorithm is more closely guarded than classified secret documents with  Google Algorithm’s that now owns most of the largest data sets in the world stored in its cloud.)                                        ——————– We now have algorithms fighting with each other for supremacy on the market, prey on other algorithms in order to blunder the world exchanges for profit to such an extent that they now effectively in control of capitalism.  Take for instance, when someone says algorithmic trading, it covers a vast subject not just buying and selling large volumes of shares automatically at very high speeds by unsupervised learning algorithms. There are four major types of trading algorithms.  There are:
  • Execution algorithms
  • Behavior exploitative algorithms
  • Scalping algorithms
  • Predictive algorithms
Transparency must be a key underpinning for algorithm accountability. Why? Because it will make it easier for the decisions produced by algorithms to be explained.  (The ‘right to explanation’ is a key part of achieving accountability and tackling the ethical implications around AI.) We are only on the outskirts of mind science that presently knows little about how the mind works never mind consciousness.  We have no idea how a collection of electric brain signals creates subjective experiences however we are conscious of our dreams. 99% of our bodily activities take place without any conscious feelings. As neuroscientists acquired more and more data about the workings of the brain, cognitive sciences, and their stated purpose is to combine the data from numerous disciplines so as better to understand such diverse phenomena as perception, language, reasoning, and consciousness. Even so, the subjective essence of “what it means” to be conscious remains an issue that is very difficult to address scientifically. To really understand what is meant by the cognitive neurosciences, one must recall that until the late 1960s, the various fields of brain research were still tightly compartmentalized. Brain scientists specialized in fields such as neuroanatomy, neurohistology, neuroembryology, or neurochemistry. Nobody was yet working with the full range of investigative methods available, but eventually, the very complexity of the subject at hand-made that a necessity. The first problem that arises when examining consciousness is that a conscious experience is truly accessible only to the person who is experiencing it. Despite the vast knowledge we have gained in the field of mathematics and computer science, none of the data processing systems we have created needs subjective experiences in order to function. None feel pain, pleasure, anger, or love. These emotions are vanishing into algorithms that are or will have an effect on how we see the world but also how we live in it.   If not address now all moral and political values will disappear, turning consciousness into a kind of mental pollution. After all, computers have no minds. Take images on Instagram they can affect mental health and body image.  You might say so what that has always been the case. And you would be right up to now but because of Covid-19 government has given themselves wide-ranging powers to collect and analyze data, without adequate safeguards. If we are not careful they will have no notion of self, existing only in the present unaware of the past or future, and therefore will be unable to consciously plan for future eventualities. Unconscious algorithms in our brains rather than conscious images in a mind. If you are using a smartphone, it indirectly means that you are enjoying the AI knowingly or unknowingly. It cannot be modified unknowingly or can’t get disfigured or breakdown in a hostile environment. We should not be regulating technology but Artificial Intelligence. It is so complicated in behavior we need to be regulated it at the data level. In lots of regulated domains, there is this notion of post-market surveillance, which is where the developer bears the responsibility of how the technology developed by them is going to be used. As William Shakespeare wrote in – As you Like it.   ” All the world is a stage, and all the men and women merely players, they have their exits and entrances. ”   Sadly with AI, Machine Learning Algorithms no one knows or for that matter will ever know when they enter or exit. Probably like AI learning is actually an ongoing process that takes place throughout all of life. It’s the process of moving information from out there — to here. Unfortunately with the brain, has its own set of rules by which it learns best, unlike AI, the information doesn’t always stick. Together, we have a lot to learn. Humanity is in contact with humanity.   All human comments appreciated. All like clicks and abuse chucked in the cloud bin.        

                                              social media oligarchy where the richest participants are allowed to spread dangerous                  .                

THE BEADY EYE SAY’S : WE KNOW THE RIGHT WAY TO GO BUT WHY IS IT SO HARD? IS IT BECAUSE IMAGINATION IS DISAPPEARING.

09 Saturday May 2020

Posted by in 2020: The year we need to change., Big Data., COVID-19, Dehumanization., Digital age., DIGITAL DICTATORSHIP., Digital Friendship., Disconnection., Economic Depression., Emergency powers., Fourth Industrial Revolution., Freedom, GPS-Tracking., HUMAN INTELLIGENCE, Human values., Humanity., Imagination., Inequality, Innovation., Modern day life., Modern day Slavery, Our Common Values., POST COVID-19., Reality., Robot citizenship., Sustaniability, Technology, Technology v Humanity, The essence of our humanity., The Future, The Obvious., The state of the World., The world to day., Tracking apps., TRACKING TECHNOLOGY., Unanswered Questions., VALUES, We can leave a legacy worthwhile., WHAT IS TRUTH, What Needs to change in the World, Where's the Global Outrage.

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(Twenty-minute read) 

If ever there was a need for imagination when this pandemic is over or is eventually under control, hopefully, imagination is going to play a massive role in redesigning not just our societies but the way we live and die on this planet.

The responses to the COVID-19 pandemic are simply the amplification of the dynamic that drives other social and ecological crises.

If we have learned anything from Covid-19 is that global problems require global solutions, whether it is a pandemic, hunger, or access to quality education, reversing climate change, poverty, and inequality, you name it.

Imagination allows us to engage in thinking about alternatives and there is no doubt that we will need some radical changes.

Here I am referring to creative imagination the role it plays in our thinking.

The key point is that in using a term such as ‘imagining’, I am not just referring to some mental activity, but also evaluating that activity in some way, with all its relations and ramifications.

So here is your chance to submit you imagine creative ideas.

(All human comments appreciated. All like clicks and abuse get chucked in the bin) 

Where to start? 

Unfortunately, this pandemic is a present-day dystopia.

It’s not the stuff of science fiction set in some distant future or on another planet it’s damage is ongoing and will only get worse as it continues.

To understand the “real world” one has to experience it not imagine it.

At the moment there is a lot of rhetoric about using a tracking App to monitor the spread of COVID_19. In other words, unregulated squealing Apps (that are owned by private corporations) that Id people that have or had the virus. 

 We recently celebrated VE day that won us freedom at the cost of millions of lives. 

In my view, such a tracking proposition is not far removed from what the Nazis did in identify Jews by marking them with a yellow star. 

It is imperative that we in their honor that we now don’t rubbish there sacrifice by becoming Data slaves. 

(As I have said in the previous post, to ensure tracking does not outlive the effort against COVID-19. Both the technology and related policies and procedures should ensure the deletion of data when there is no longer a need to hold it.)

When people feel that their phones are antagonistic rather than helpful, they will just turn location functions off or turn their phones off entirely.

Imagine living under a Chines automatism system run by a Donal Dump.

Such techniques violate some of the core values of liberal democratic regimes.)

Up to now, we thought that Capitalist Globalization was the bee’s knees when in fact it increased inequalities and undermined democracy.

Now we realize that ecological transition IS more than NECESSARY with a bottom-up economy to protect the world and not the top-down begging world we have a the moment.  

However, the big problem remains the same.

How to distribute the gains of any economy. and now the losses.  

Technology will treat people as units and as such the relentless growth and accumulation of wealth and power for the few, will continue to grow. 

Cutting-edge technologies are now powered by artificial intelligence and are fundamentally shifting the distribution of power between people who provide data and entities that can make sense and use of these data.

It will become a battle between protecting individual rights and confronting an existential threat to our collective right to health, to a basic living wage. 

Of course, all of this data helps epidemiologists model the movement and the future of the virus but beyond the privacy and data rights, there are questions of biases and discrimination built into the algorithms that power the technology. 

Machines will never be made to think like people.

We have for decades underpaid the people that we now call essential workers as interchangeable units.

Currently, the AI field is mostly controlled by corporate interests. 

As global COVID-19 cases continue to rise, the unmatched connectivity that defines our era serves as both bane and blessing. 

Let’s ask the question one more time, in taking advantage of big data to create databases to track and predict infectious risk, should we be enforcing social- distancing by squealing on each other?

If you are at risk, the odds change rapidly, you become in favor of sharing or donating data.

There’s really no way to stop the movement of microbes and we need to realize that now our citizens really need to realize that.

Mapping potential carriers with big data notwithstanding privacy concerns, analysis of personal, travel, and other data like clinical data allow accurate predictive modeling.

Imagine if we created a society where everything is predicted and determined by big data. Its presence depends on “symbolic function”, the ability to pretend that one object is another thing entirely.

It will be a massive mistake.

So is technology an imaginary friend or foe?

Will we lose that human touch?

There’s no doubt that the coronavirus pandemic has changed daily life.

But what changes will last? How will we live when it’s all over? 

Even now, when we’re seeing a massive, rapid change in most walks of life — inspired by a push in science or technology, or nudged by a freak, global health emergency — it’s hard to find sound prophecy. And that’s despite access to mountains of data.

Who would have imagined that global consumerism could be crushed by the wheels of its own industry … quite so suddenly.

But perhaps this is the kind of tipping point that we secretly crave — a slowing of society.

Many people will struggle to deal with an increasing rate of change and, as a result, suffer a social or personal shock. Whether we survive the shock depends on how well we adapt.

What complicates things is that no two societies are ever fully the same.

We’re seeing that friction today, between so-called “forces” and “anti-forces.” The push and pull of people and places adapting this way or that way. But it’s nigh impossible to predict how much of that change, and its effect on daily life, will remain, and how much — or what — will change back.

Whatever happens, it won’t be on a massive scale because our regular behavior will start to reemerge.

Who will benefit more?

We might discover that work is not really part of your life or something you like to do, but something you must do exactly seven hours and 42 minutes a day. And then your real life starts.

This Pandemic will not be a ‘one-off’ event. 

Now is the time to start investing in spare capacity, in people and equipment, to cope with such events. 

( See post on setting up World Aid Depots)  

We must envision a path that allows humans to flourish by asking: how can we protect people financially, should widespread technological unemployment happen even sooner than we anticipated?

A realization among some that the dominant ways of knowing and organizing, which characterize our modern techno-industrial cultures, cannot handle the realities of living, complex, relational, human, and non-human systems.

This may help bring into focus the need to update the conceptual foundations of our cultures.

But can tech solve everything?

That raises the question of whether privacy isn’t just a cultural construct.

If your health depended on it, wouldn’t you share your data willingly?

So we need to say goodbye to our concepts of data security.

Data security is something for healthy people.

On the other hand fear of infection is limiting “in-person” interactions, forcing us deeper into an “increasingly chilling use of online systems and all-electronic communication.

Change depends on how we see ourselves as individuals and groups living through the now.

The internet might just be facilitating.

But it’s still about the real world and a reminder that you can’t eat anything on your computer screen.

In the next Pandemic and the forthcoming Depression, there will be nowhere to hide” from economic collapse in our networked world. 

Take video conferencing.

It’s fine as an exception, but as a rule, it fails to fully translate subtle forms of communication — body language below the head and shoulders. All sound is normalized, mics get muted, along with nervous hands or a lost, downward gaze.

In the end, previous pandemics have profoundly re-shaped society and despite huge advances in medical knowledge, we are once again forced to respond in much the same ways as we did to previous pandemics.

Until a worldwide vaccine we’re really back to what our ancestors would have had in terms of dealing with this kind of disease – just stay away from each other in an effort to slow down its spread.

What we’re doing now is keeping it running at any cost.

However, it is obvious that the right path in tackling both COVID-19 and climate change is much easier if you reduce nonessential economic activity.

There is now an opportunity to change course, the earth must be respected.

So imagination without reality is the osmotic membrane between matter and mind, the antechamber between outside and inside, the free zone between the laws of nature and the requirements of reason.

Without, it indicates a lack of commitment to the truth or existence of what is thought of by the person or persons who invented big data. Thinking of something that is not present to the senses without commitment to its truth or falsity a Digital prison. 

Up to now, we live in a world of the short-term profit-driven corporate world, with the support of the trillion-dollar advertising industry and complicit governments who have fetishized economic growth.

If technology dominates us, not only is the whole struggle to imagine a world of equal opportunities betrayed but the opportunity is lost.

So it’ll only be when it’s all over that we’ll have the luxury of telling the story as a neatly bound series of logical events.

The impacts we’ll see from this is going to be far greater than what happened before. Whether imagery is a form of imagination, and whether supposition is a form of imagination as quick as you can imagine there is a depression of historic proportions coming.

Imagination makes our world an even more spectacular place.

We imagine even when we don’t think that we are imagining.

Everything that humans have achieved has started with the glimmer of imagination.

It is, in sum, the pivotal power in which are centered those mediating, elevating, transforming functions that are so indispensable to the cognitive process that philosophers are reluctant to press them very closely.

Why does it seem to diminish over time for all but the most creative among us?

My own ability to imagine up a story or new world seems far weaker than it used to be. Or is it?

It fails to exclude such things as remembering.

We can leave a legacy worthwhile.   So comment. 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

THE BEADY EYE ASK’S: NOW THAT YOU ARE IN LOCK DOWN WHAT DO YOU THINK MAKE LIFE WORTH LIVING?

12 Sunday Apr 2020

Posted by in 2020: The year we need to change., CORONA VIRUS., COVID-19, Digital age., Digital Friendship., Disconnection., Human values., Humanity., Life., Lock Down., Modern day life., Our Common Values., Post-Covid-19, Reality., Religion., Religious Beliefs., Technology v Humanity, The common good., The essence of our humanity., The Future, The Obvious., The state of the World., The world to day., Unanswered Questions., VALUES, WHAT IS TRUTH, What Needs to change in the World

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(Five-minute read)

I know it’s a heavy question, but now perhaps it is one of the most important questions we all have to answer in the future. 

It can be tough to notice all the amazing things that life has to offer.

Can we be satisfied with the successful pursuit of love, work, and play?

A fulfilling life can be elusive, as there aren’t any concrete factors that truly determine whether or not a person has truly found happiness. Satisfaction often yields happiness, but even the pursuit is enough to give life meaning.

For me, it is sharing that gives life meaning. 

Active listening by taking your friend’s feelings into account when making a decision and phasing out people who introduce stress or negative feelings out of your life.

The successes of your friends are important and worthy of celebrating.

Get to know them.

Find value in what you do. I.E. finding a job that aligns with your personal passions. It’s important to find a line of work that offers the amount of freedom you feel is necessary and appropriate. Accomplishing something of value.

Obsessing over past failures can’t change what happened. The opinions of others carry only as much weight as you allow them to.

Giving back. Find a cause you are passionate about and donate to it, volunteer your time, or offer your support in some way.

Remember that your strengths are a big part of what makes you great.

Forgiving can be among the hardest things to master, as often it’s the things that hurt the most that are most in need of forgiveness.

Remember, life is always worth living and there are people out there that can help.

It’s about the relationships we create, develop, support and maintain with people, colleagues, friends, and members of our family. Every person we meet adds invaluable experience to our life. Even the most complicated relationships we find ourselves in teaching us something worthwhile.

The answer rests in the ability to create, to dream and to strive to turn those dreams into reality. It’s all about big and small achievements when we prove ourselves being able to push the limits away. It’s about discovering the depths of your unlimited potential. 

By accepting what is going on and what happened, we release ourselves from oppressive judgments and wishes for things to pan out differently.

Enjoy all the little things, and with the time you will discover their profound meaning and that they weren’t little after all.

One thing that makes life more fulfilling and worth living are really connecting with the world around us. Nature. 

Religious faith may be reassuring, but science cannot objectively tell someone whether they should adhere to Christianity, Islam, Hinduism, or some other religion. It cannot even tell an individual what version of Christianity (Catholic, Baptist, Morman, etc.) or Islam (Shia or Sunni) they ought to adopt. Hence, religion and vague spiritual ideas—such as “everything happens for a reason”—can not provide an evidence-supported basis for living.

But most people, fortunately, can find lots of reasons to value their lives. 

Time does not stand still for anybody so perhaps Boris Johnston Priminster after his Coronavirus experience now realizes that sharing is what makes life go around and not get Brexit done.

One thing that makes life more fulfilling and worth living are really connecting with the world around us. If you consider your most precious memories they are probably with other people when you were doing something beyond your personal satisfaction.

Living a full, meaningful and thriving life comes down to being engaged in the world around us, not in virtual reality.

All human comments appreciated. All lie clicks and abuse chucked in the bin.

 

THE BEADY EYE SAY’S; HERE ARE THE BIG QUESTIONS THAT ARE YET TO COME WHEN IT COMES TO TECHNOLOGY.

19 Wednesday Feb 2020

Posted by in #whatif.com, 2020: The year we need to change., Algorithms., Artificial Intelligence., Big Data., Digital age., DIGITAL DICTATORSHIP., Digital Friendship., Fourth Industrial Revolution., Google, Google it., Google Knowledge., Human values., Humanity., Life., Modern day life., Our Common Values., Reality., Sustaniability, Technology, Technology v Humanity, The common good., The Future, The Obvious., The state of the World., The world to day., Unanswered Questions., War, WHAT IS TRUTH, What Needs to change in the World, Where's the Global Outrage., World Leaders

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Thirty-minute read.

Who owns what?  What’s our purpose in life?  What are the values that we believe in? How do we think and make decisions?  What do we mean by work?  Can our work ever have true meaning unless it is to serve others?

What will help us all think deeply about the questions we need to ask and answer?

Climate change or technology.

However, for many of us, the answers to these questions differ in our working lives, compared with our personal lives, with family, friends and neighbours.

Were a ruling elite like Google to impose a command-and-control, fear-driven culture in which power is abused and the outcomes are social and economic misery for the vast majority?

Our reaction, if we are to go by what is now observable, will be So what? Now what?

MAKING sure companies compete fairly is a tricky business. The firms being regulated know far more about their business than those doing the regulating;

“Artificial intelligence is the future, not only for Russia but for all of humankind.” Says Putin. “Whatever country comes to dominate this technology will be the “ruler of the world.”

His rhetoric is entirely appropriate. Automation and digitalization have already had a radical effect on international systems and structures.

Technology can easily be referred to as the scientific knowledge to the practical problems we are experiencing in the world today.

On the other hand, its core strategy is to gobble up market share with profit-seeking algorithms.

Our environments are all so full of technology to the point that most of the time we take it for granted.

So are we all becoming personified idiots?

Technology has a great impact on all the fundamental aspects of all our cultures including laws and how they are enforced, language, art, health care, mobility, education and religion.

The obvious problem with all of this is that countries will not own or be in control of the technologies.negative effects of technology

While we all sit back and accept the benefits technology it also brings manipulation on a  worldwide scale with our future in the hands of only a handful of corporations and the vast amount of people that are okay with that.

It’s hard to argue against innovation. It’s hard to argue against greater choice, more convenience and lower prices.

One way or the other it is also hard to underestimate the fundamentally different rules that Google /Amazon/ Facebook/ Apple/ Baidu play by.

Hiding behind forked rhetoric that the data they collect does no harm as it is anonymous.

You do not need to know who you are. It is enough to know what you consume, your habits, your tastes, and where you are, through the IP address, the GPS of the mobile, or your Google account. Your name, or your phone number, is not important to sell you things.

Blurring the borders of privacy. Replacing real-life communication.

And on top of it, violent games and videos killing empathy and bring destruction into an individual’s life. Plagiarism and cheating are increase while analysis and critical thinking decline, ending up in social isolation.

(We now have a new perverse sexual harassment of Cyber flashing which is not against any law. Why? Because our laws cannot keep up with the speed of change)

Commercial technology like Smartphones, I pads, Home Alexa/Echo and there like is about creating another consumer touchpoint for their robust ecosystem of e-commerce, services, and media taking advantage of less sophisticated consumers and trick them into consuming items for short-term satisfaction and long-term pain.

Originally created to serve faithfully to humanity, digital devices are revealing their harmful impact on our lives.

We should all be careful what we wish for.

There’s an argument made by big corporations for each country to charge corporations the lowest possible tax rate, to loosen environmental regulations down to zero, and to eliminate employee protections. All so that a country’s commodity producers can be the cheapest ones.

The voice market war has only just begun.

The contenders:

Amazon-Echo v Google-Alexa.amazon-echo-google-home

Once they figure out how to improve their recommendations and push more people to make regular household purchases via voice it will lead to an explosion in voice-based shopping.

Google already has one of the most valuable brands in the world.

Google maps have virtually no meaningful rival.  Gmail…Google basically controls our handheld existence.

Google controls your life, literally, even if it costs you to believe it.

Google trackers have been found on 75% of the top million websites.

When you search on Google, they keep your search history forever.

Google is a company that offers almost all its products for free because the money is earned by selling the data it collects with those products, to advertisers and companies.

Last year Google made over $161 billion in total revenues.

As it is the premier search engine in the U.S., Europe, and many developing countries Google has the tools to control much of the world.

That’s just Google then you have Amazon.

With around 225 million customers around the world, Amazon wants to deliver everything you want to your doorstep, including Foods anywhere in the world. ( 300 items a second) These days half of all product searches start on Amazon.

Our lust for cheap, discounted goods delivered to our doors promptly and efficiently has a price.

Amazon has done a lot of good for consumers by expanding choice, making shopping far more convenient and by delivering extraordinary product value.

Yet, we can’t–and shouldn’t–ignore the profound effect that Amazon is having on just about every corner of the retail world they set their sights on.

Amazon is selling its facial recognition technology, known as Rekognition, to law enforcement agencies.

First and foremost, Amazon isn’t required by its investors to make any real money.

For us the Great unwashed there’s always the opportunity to cut a corner, sacrifice lifestyle quality and suck it up as they race to grab a little more market share.

With their algorithms, they tell you what restaurants you have to eat in, choose your music, label your photos associating them with each family member or friend that appears in them, pay for your purchases, suggest the movies you should see, and the apps that may interest you.

When in fact the searches we do, what websites we visit, what products we look at, where are we, your medical history, your political beliefs, your associations with others your employment prospects, everything from the womb to the grave is collected and analyzed

Before I hear you calling me a hypocrite I also have used Amazon.

If this scenario prevails, would this be really the way information is supposed to be organized?

In short, does the fact that an algorithm is able to provide more relevant information than a human justify this scenario?

These big brands platforms are more powerful than governments. They’re wealthier. If they were countries, they would be pretty large economies. They’re multinational and the global financial situation allows them to ship money all over the world.

Can we do anything to make a difference?

We need to be supporting the development of an efficient circular economy.

Why?

Because sustainability is an unstoppable force.

Let’s not race to the bottom.

Country’s population size will become less important for national power as small countries that develop a significant edge in AI technology will move far above their weight.

Ultimately, however, winning and losing will not be determined by which country gains the most growth through AI. It will be determined by how the entire global community chooses to leverage AI — as a tool of war or as a tool of progress.

They can eliminate rules protecting clean water, air or consumer safety, but they will always find a way to be cheaper or more brutal than you.

We all assume that Google, Facebook, Amazon, Apple, are spying our activity and up to now advertiser is not interested in your name when they are it will be too late and the winner will be Inequality.

So what does all this mean and what are we all going to do about it when we’ve stopped talking about it?

Once you start to connect all the invisible dots together the impact on society will, in the end, be down to the people that use the technology they have to be responsible for it and if they use it irresponsibly they have to be held accountable.

A Footnote:

For me, there is little point in Jeff Bezos setting up an Earth fund when Amazon is one of the biggest promoters of pollution. Pretending to be a do-gooder.

The brown box doesn’t begin to address the larger issue: Each year in the United States alone thrown paper in the trash that represents approximately 640 million trees or roughly 915,000 acres of forest land.

Amazon ships an average of 608 million packages each year, which equates to (an estimated) 1,600,000 packages a day.

Then when we talk about energy consumption, we’re talking about the sources of energy that generate our power: oil, coal, natural gas and alternatives like solar, wind, hydropower and biofuels.

How much electricity they use and the bill is, god only knows, so its no wonder that they have contracts with oil and gas companies.

Now consider that people conduct over 1,6 billion searches per day, and you get a massive energy footprint of roughly 12.5 million watts.

Is e-commerce reducing or increasing our carbon footprint?

Google’s worldwide operations, collectively worldwide use about 2.26 million megawatt-hours per year to power its global data centre operations, which is equivalent to the power necessary to sustain 200,000 homes.

In 2018 Google generated 39.12 billion dollars earnings out of which it paid 243 Million a day in electricity.

This is only an educated guess.

The link between global warming and energy demands is obvious. Surely both of these players should be investing in Green energy.

There’s a deafening silence from pundits and elites and columnists and politicians on our joint self-destruction.

They are simply going on pretending it isn’t happening.

We don’t, as societies or cultures, value learning or knowledge or magnanimity or great and noble things, anymore.

The average person has become a tiny microcosm of the aspirations and norms of elites. We’re the only people on earth who thwart our own social progress, over and over again — and cheer about it.

We are caught in a death spiral now. A vicious cycle from which there is probably no escape. The average person is too poor to fund the very things — the only things — which can offer him a better life:

The result is that a whole society grows poorer and poorer.

Unable to invest in themselves or one another, people’s only real way out is to fight each other for self-preservation, by taking away their neighbour’s rights, privileges, and opportunities — instead of being able to give any new ones to anyone.

Though it’s too late to escape for them, let us hope our governments regulate their algorithms for profit sake.

All human comments appreciated. All like clicks chucked in the bin.

 

 

 

 

 

 

 

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THE BEADY EYE SAYS; SO YOU ARE NOW 30 BY THE TIME YOU ARE 70 HERE IS WHAT A DAY IN YOUR LIFE WILL LOOK LIKE.

10 Friday Jan 2020

Posted by in 2020: The year we need to change., Algorithms., Artificial Intelligence., Communication., Dehumanization., Digital age., DIGITAL DICTATORSHIP., Digital Friendship., Evolution, Fourth Industrial Revolution., HUMAN INTELLIGENCE, Humanity., Life., Modern day life., Our Common Values., Reality., Robot citizenship., Social Media, Sustaniability, Technology, The common good., The essence of our humanity., The Future, The Obvious., The state of the World., The world to day., Unanswered Questions., WHAT IS TRUTH, What Needs to change in the World, Where's the Global Outrage.

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(Twenty-minute read)

The Dead Sea will be almost completely dried up, nearly half of the Amazon rainforest will have been deforested, wildfires will spread like, umm, wildfire, and the polar ice caps will be only 60 per cent the size they are now.

Wars will involve not only land and sea but space. Superhurricanes will become a regular occurrence.

Should you be worried, of course not AI/Algorithms are here to guide you.

AI-related advancements have grown from strength to strength in the last decade.

Right now there are people coming up with new algorithms by applying evolutionary techniques to the vast amounts of big data via genetic programming to find optimisations and improve your life in different fields.

The amount of data we have available to us now means that we can no longer think in discrete terms. This is what big data forces us to do.

It forces us to take a step back, an abstract step back to find a way to cope with the tidal wave of data flooding our systems. With big data, we are looking for patterns that match the data and algorithms are enabling us to find patterns via clustering, classification, machine learning and any other number of new techniques.

To find the patterns you or I cannot see. They create the code we need to do this and give birth to learner algorithms that can be used to create new algorithms.

So do you remember a time, initially, when it was possible to pass on all knowledge through the form of dialogue from generation to generation, parent to child, teacher to student?  Indeed, the character of Socrates in Plato’s “Phaedrus” worried that this technological shift to writing and books was a much poorer medium than dialogue and would diminish our ability to develop true wisdom and knowledge.

Needless to say that I don’t think Socrates would have been a fan of Social Media or TV.

The machine learning algorithms have become like a hammer at the hands of data scientists. Everything looks like a nail to be hit upon.

In due process, the wrong application or overkill of machine learning will cause disenchantment among people when it does not deliver value.

It will be a self-inflicted  ‘AI Winter’.

So here is what your day at 70th might be.

Welcome to the world of permanent change—a world defined not by heavy industrial machines that are modified infrequently, but by software that is always in flux.

Algorithms are everywhere. They decide what results you see in an internet search, and what adverts appear next to them. They choose which friends you hear from on social networks. They fix prices for air tickets and home loans. They may decide if you’re a valid target for the intelligence services. They may even decide if you have the right to vote.

7.30 am 

Personalised Health Algorithm report.

Sleep pattern good. Anxiety normal, deficient in vitamin C. Sperm count normal.

Results of body scan sent health network.

7.35 am

House Management Algorithm Report.

Temperature 65c. House secure. Windows/ Doors closed Catflap open. Heating off. Green Energy usage 2.3 Kwh per minute. (Advertisement to change provider.) Shower running, Water flow and temperature adjusted, shower head hight adjusted. House Natural light adjusted. Confirmation that smartphone and I pad fully charges. Robotic housemaid programmed.

8 am.

Personalised Shopping/Provisions Algorithm report.

Refrigerators will be seamlessly integrated with online supermarkets, so a new tub of peanut butter will be on its way to your door by drone delivery before you even finish the last one.

8.45 am. Appointments Algorithm.

Virtual reality appointment with a local doctor.

Voice mails and emails and the calendar check.

A device in your head might eliminate the need for a computer screen by projecting images (from a Skype meeting, a video game, or whatever) directly into your field of vision from within. It checks

9 am.

Personalised Financial Algorithm.

Balance of credit cards and bank accounts including citizen credit /loyalty points. Value of shares/ pension fund updated.

10 am. Still in your Dressing gown.

11 am.  The self-drive car starts. Seats automatically shift and rearrange themselves to provide maximum comfort. Personalised News and Weather Algorithm gives a report. The car books parking spot places order for coffee. Over coffee, you rent out a robot in Dublin and have it do the legwork for your forthcoming visiting – hotels.

12 pm.

Hologram of your boss in your living room.

1 pm.

Virtual work meeting to discuss the solitary nature of remote work.

Face-to-face meeting arranged.

 

2 pm. Home. Lunch delivered.

3 pm. Sporting activity with a virtual coach.

5 pm. Home

7 30 pm.

Discuss and view the Dubin robot walk around containing video and audio report. 

Dinner delivered. Six quests. The home management algorithm rearranges the furniture.

8 30 pm

Virtual helmets on for some after-dinner entertainment.

10 pm 

Ask Alixia to shut the house down not before you answer Alixia question to score points and a chance to win — Cash- Holiday- Dinner for two- a discount on Amazon- e bay- or a spot of online gambling.

                                                       ———

The fourth industrial revolution is not simply an opportunity. It matters what kind of opportunity is for whom and under what terms.

We need to start thinking about algorithms.

The core issue here is of course who will own the basic infrastructure of our future which is going to be effect all sectors of society.

They are not just for mathematicians or academics. There are algorithms all around us and you don’t need to know how to code to use them or understand them.

We need to better understand them to better understand, and control, our own futures. To achieve this we need to better understand how these algorithms work and how to tailor them to suit our needs. Otherwise, we will be unable to fully unlock the potential of this abstract transition because machine learning automates automation itself.

The new digital economy, akin to learning to read, has obscured our view of algorithms. Algorithms are increasingly part of our everyday lives, from recommending our films to filtering our news and finding our partners.

Building a solid foundation now for governance for AI the need to use AI responsibly
and to consider the broader reaching implications of this transformational technology’s use.

The world population will be over 9 billion with the majority of people will live in cities.

So here are a few questions at 30 you might want to consider.

How does the software we use influence what we express and imagine?

Shall we continue to accept the decisions made for us by algorithms if we don’t know how they operate?

What does it mean to be a citizen of a software society?

These and many other important questions are waiting to be analyzed.

If we reduce each complex system to a one-page description of its algorithm, will we capture enough of software behaviour?

Or will the nuances of particular decisions made by software in every particular case be lost?

You don’t need a therapist; they need an algorithm.

We may never really grasp the alienness of algorithms. But that doesn’t mean we can’t learn to live with them.

Unfortunately, their decisions can run counter to our ideas of fairness. Algorithms don’t see humans the same way other humans do.

What are we doing about confronting any of this –  Nothing much.

So its no wonder that people start to worry about what’s left for human beings to do.

All human comments appreciated. All like clicks and abuse chucked in the bin.