, , , , , ,

(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.