Machines like us? – Part II

Brain image by Elisa from Pixabay. Composition by the author

[Creativity is] the relationship between a human being and the mysteries of inspiration.

Elizabeth Gilbert – Big Magic

Another week and another letter from a group of artificial intelligence (AI) experts and public figures expressing their concern about the risk of AI. This one has really gone mainstream with Channel 4 News here in the UK having it as their lead story on their 7pm broadcast. They even managed to get Max Tegmark as well as Tony Cohn – professor of automated reasoning at the University of Leeds – on the programme to discuss this “risk of extinction”.

Whilst I am really pleased that the risks from AI are finally being discussed we must be careful not to focus too much on the Terminator-like existential threat that some people are predicting if we don’t mitigate against them in some way. There are certainly some scenarios which could lead to an artificial general intelligence (AGI) causing destruction on a large scale but I don’t believe these are imminent and as likely to happen as the death and destruction likely to be caused by pandemics, climate change or nuclear war. Instead, some of the more likely negative impacts of AGI might be:

It’s worth pointing out that all of the above scenarios do not involve AI’s suddenly deciding themselves they are going to wreak havoc and destruction but would involve humans being somewhere in the loop that initiates such actions.

It’s also worth noting that there are fairly serious rebuttals emerging to the general hysterical fear and paranoia being promulgated by the aforementioned letter. Marc Andreessen for example says that what “AI offers us is the opportunity to profoundly augment human intelligence to make all of these outcomes of intelligence – and many others, from the creation of new medicines to ways to solve climate change to technologies to reach the stars – much, much better from here”.

Whilst it is possible that AI could be used as a force for good is it, as Naomi Klein points out, really going to happen under our current economic system? A system that is built to maximize the extraction of wealth and profit for a small group of hyper-wealthy companies and individuals. Is “AI – far from living up to all those utopian hallucinations – [is] much more likely to become a fearsome tool of further dispossession and despoilation”. I wonder if this topic will be on the agenda for the proposed global AI ‘safety measure’ summit in autumn?

Whilst both sides of this discussion have good valid arguments for and against AI, as discussed in the first of these posts, what I am more interested in is not whether we are about to be wiped out by AI but how we as humans can coexist with this technology. AI is not going to go away because of a letter written by a groups of experts. It may get legislated against but we still need to figure out how we are going to live with artificial intelligence.

In my previous post I discussed whether AI is actually intelligent as measured against Tegmark’s definition of intelligence, namely the: “ability to accomplish complex goals”. This time I want to focus on whether AI machines can actually be creative.

As you might expect, just like with intelligence, there are many, many definitions of creativity. My current favourite is the one by Elizabeth Gilbert quoted above however no discussion on creativity can be had without mentioning the late Ken Robinsons definition: “Creativity is the process of having original ideas that have value”.

In the above short video Robinson notes that imagination is what is distinctive about humanity. Imagination is what enables us to step outside our current space and bring to mind things that are not present to our senses. In other words imagination is what helps us connect our past with the present and even the future. We have, what is quite possibly (or not) the unique ability in all animals that inhabit the earth, to imagine “what if”. But to be creative you do actually have to do something. It’s no good being imaginative if you cannot turn those thoughts into actions that create something new (or at least different) that is of value.

Professor Margaret Ann Boden who is Research Professor of Cognitive Science defines creativity as ”the ability to come up with ideas or artefacts that are new, surprising or valuable.” I would couple this definition with a quote from the marketeer and blogger Seth Godin who, when discussing what architects do, says they “take existing components and assemble them in interesting and important ways”. This too as essential aspect of being creative. Using what others have done and combining these things in different ways.

It’s important to say however that humans don’t just pass ideas around and recombine them – we also occassionally generate new ideas that are entirely left-field through processes we do not understand.

Maybe part of the reason for this is because, as the writer William Deresiewicz says:

AI operates by making high-probability choices: the most likely next word, in the case of written texts. Artists—painters and sculptors, novelists and poets, filmmakers, composers, choreographers—do the opposite. They make low-probability choices. They make choices that are unexpected, strange, that look like mistakes. Sometimes they are mistakes, recognized, in retrospect, as happy accidents. That is what originality is, by definition: a low-probability choice, a choice that has never been made.

William Deresiewicz, Why AI Will Never Rival Human Creativity

When we think of creativity, most of us associate it to some form of overt artistic pursuit such as painting, composing music, writing fiction, sculpting or photography. The act of being creative is much more than this however. A person can be a creative thinker (and doer) even if they never pick up a paintbrush or a musical instrument or a camera. You are being creative when you decide on a catchy slogan for your product; you are being creative when you pitch your own idea for a small business; and most of all, you are being creative when you are presented with a problem and come up with a unique solution. Referring to the image at the top of my post, who is the most creative – Alan Turing who invented a code breaking machine that historians reckon reduced the length of World War II by at least two years saving millions of lives or Picasso whose painting Guernica expressed his outrage against war?

It is because of these very human reasons on what creativity is that AI will never be truly creative or rival our creativity. True creativity (not just a mashup of someone else’s ideas) only has meaning if it has an injection of human experience, emotion, pain, suffering, call it what you will. When Nick Cave was asked what he thought of ChatGPT’s attempt at writing a song in the style of Nick Cave, he answered this:

Songs arise out of suffering, by which I mean they are predicated upon the complex, internal human struggle of creation and, well, as far as I know, algorithms don’t feel. Data doesn’t suffer. ChatGPT has no inner being, it has been nowhere, it has endured nothing, it has not had the audacity to reach beyond its limitations, and hence it doesn’t have the capacity for a shared transcendent experience, as it has no limitations from which to transcend.

Nick Cave, The Red Hand Files

Imagination, intuition, influence and inspiration (the four I’s of creativity) are all very human characteristics that underpin our creative souls. In a world where having original ideas sets humans apart from machines, thinking creatively is more important than ever and educators have a responsibility to foster, not stifle their students’ creative minds. Unfortunately our current education system is not a great model for doing this. We have a system whose focus is on learning facts and passing exams and which will never allow people to take meaningful jobs that allow them to work alongside machines that do the grunt work whilst allowing them to do what they do best – be CREATIVE. If we don’t do this, the following may well become true:

In tomorrow’s workplace, either the human is telling the robot what to do or the robot is telling the human what to do.

Alec Ross, The Industries of the Future

Discover Problems, Don’t Solve Them

A while ago I wrote a post called Bring me problems not solutions. An article by Don Peppers on Linkedin called ‘Class of 2013: You Can’t Make a Living Just by Solving Problems’ adds an interesting spin to this and piles even more pressure on those people entering the job market now, as well as those of us figuring out how to stay in it!As we all know, Moore’s Law says that the number of transistors on integrated circuits doubles approximately every two years. As this power has increased the types of problems computers can solve has also increased exponentially. By the time today’s graduates reach retirement age, say in 50 years time (which itself might be getting further away thus compounding the problem) computers will be several million times more powerful than they are today.

As Peppers says:

If you can state something as a technical problem that has a solution – a task to be completed – then eventually this problem can and will be solved by computer.

This was always the case, it’s just that as computers are able to perform even more calculations per second the kinds of problems will become more and more complex that they can solve. Hence the white collar and skilled professional jobs will also become consumed by the ever increasing power of the computer. Teachers, lawyers, doctors, financial analysts, traders and even those modern day pariahs of our society journalists and politicians will continue to see their jobs become redundant.

So if the salaried jobs of even those of us who solve problems for a living continue to disappear what’s left? Peppers suggests there are two potential areas that computers will struggle with, one is to become very good at dealing with interpersonal issues – people skills (darn it, those pesky HR types are going to be in work for a while longer). The other way is not to focus on solving problems but on discovering them.

Discovering problems is something that computers find hard to do, and probably will continue to do so. It’s just too difficult to bound the requirements and define the tasks that are needed for creating a problem. Discovering new problems has another name, it’s also known as “creativity.” Creativity involves finding and solving a problem that wasn’t there before. How to be creative is a very profitable source of income for authors right now with more and more books appearing on this subject every month. However, here’s the irony, just as we are realising we need to be fostering creativity as a skill even more we are quite literally turning the clock back on our children’s innate abilities to be creative. As explained in this video (The Faustian Bargain) “the way we raise children these days is at odds with the way we’ve evolved to learn”.

Sadly our politicians don’t seem to get this. Here in the UK, the head of state for education, Michael Gove, doesn’t understand creativity and his proposed education reforms “fly in the face of all that we know about creativity and how best to nurture it”. It seems that the problem is not just confined to the UK (and probably other Northern Hemisphere countries). In India the blogger and photographer Sumeet Moghe is thinking that his daughter doesn’t deserve school. and is struggling with what alternatives a concerned parent might provide.

So, what to do? Luckily there are people that realise the importance of a creative education, fostering a love of learning and nurturing the concept of lifelong learning. Sir Ken Robinson’s TED talk on how schools kill creativity is one of the most watched presentations of all time. So, what to do? Watch this and other talks by Ken Robinson as well as other talks on TED that deal in matters of creativity. Learn what you can and get involved in the “creative life” as much as possible. If you live in countries that don’t support creativity in education then write to your elected representative and ask her or him what they, and the government they are a part of, are doing about it. For the sake of all of us this is a problem that is too important to let our leaders get away with not fixing.

Five Inspirational Videos

As a follow-up to my six non-IT books here are five videos I have found some inspiration from recently (plus one that whilst cannot be described as inspirational is at least amusing in a vaguely nerdy programmer kind of way):

  1. Steve Jobs (A CEO): How to Live Before You Die Steve Jobs steps out from his usual Apple presentation mode and delivers this keynote to students at Stanford. He highlights three things which have had a major impact on his life and how important it is to learn from such life experiences.
  2. Winston Royce (A Methodologist): The Rise and Fall of Waterfall Not actually by Winston Royce but a humorous look at how we ended up with waterfall. An example of how to get a point across by telling a story (and using wonderfully simple graphics).
  3. Grady Booch (A Software Architect): The Promise, The Limits, The Beauty of Software Grady is an inspirational speaker on all things software related. We were lucky enough to get him to write the forword to our book (which I’m sure has done its sales the world of good).
  4. Sir Ken Robinson (An Innovator and Educationalist): Do Schools Kill Creativity SKR (as he calls himself on his website) has some strong views on how our present education system is letting down youngsters.For a great rendition of another of Sir Ken’s talks see here.
  5. David Eustace (A Photographer): In Search of Eustace Nothing to do with IT but related to one of my other passions. This simple and beautifully filmed video set to music will resonate with anyone on life’s journey.

And finally…

  1. Lady Gaga (A Singer) Lookalike: Sings About Java Programming An example of how creativity (the video production) can be used to improve even the worst ideas (the song). What else can I say!