Skip to main content

Ian Watson – Four Way Interview

Ian Watson is a professor of artificial intelligence at the University of Auckland New Zealand. His latest book is The Universal Machine: from the dawn of computing to digital consciousness, exploring the legacy of Alan Turing, the inventor of the computer. He is a keen blogger and is currently researching in Game AI.
Why science?
I’ve never felt it’s a matter of choosing science over something else. At school I specialised in Biology, Chemistry and English Literature for my university entrance exams. My school said, “You can’t do that! You’ve got to specialise in either the sciences or the arts.” I replied, “I can do that. The timetable permits it – I checked.” Going from a chemistry or biology lab to an English Lit. class or vice versa was constantly refreshing and stimulating.
Steve Jobs was often photographed in front of a mythical street intersection: Liberal Arts and Technology. He famously said “In my perspective … computer science is a liberal art.” I agree with him; to be inventive in computer science you have to imagine it first. It’s a creative act – computer scientists are not discoverers exploring reality and bringing back theories, we’re creative artists, imagining things and making them happen.
Why this book?
There are many books about difference parts of the history of computing from Charles Babbage to the present day. I’ve read many of them, but most are only for the real enthusiast: 600 plus pages on Steve Jobs or Facebook is not for everyone. I wanted to write one book that would cover all the basics from the 1830s to the present day and be accessible and easy to read. 2012 is also the centenary of Alan Turing’s birth and I felt that a book that put his legacy in its full context would be a great contribution to the Alan Turing Year celebrations.
What’s next?
I’ve now started work on a popular science history of artificial intelligence. AI is probably the aspect of computer science that most fascinates and even frightens people. I intend to look at the history of AI from the mythical creations of ancient history through mechanical automata to the birth of AI in the 1950s and to today. The book will then deal, in layperson terms, with the main techniques of AI and look at how AI has been applied in business and industry, health care, the arts and entertainment and the military. The final chapter will look over the horizon at what AI may have in store for us in the future.
What’s exciting you at the moment?
In computing it’s the power of the cloud to provide us with unlimited processing power and data storage where ever we are via our mobile devices. Soon we’ll no longer care how much processing power or memory our new gadget has – this will be utterly irrelevant. The advent of this will enable a completely new class of intelligent applications become feasible – I call it cloud intelligence, perhaps I should write a book about it.

Comments

Popular posts from this blog

Rakhat-Bi Abdyssagin Five Way Interview

Rakhat-Bi Abdyssagin (born in 1999) is a distinguished composer, concert pianist, music theorist and researcher. Three of his piano CDs have been released in Germany. He started his undergraduate degree at the age of 13 in Kazakhstan, and having completed three musical doctorates in prominent Italian music institutions at the age of 20, he has mastered advanced composition techniques. In 2024 he completed a PhD in music at the University of St Andrews / Royal Conservatoire of Scotland (researching timbre-texture co-ordinate in avant- garde music), and was awarded The Silver Medal of The Worshipful Company of Musicians, London. He has held visiting affiliations at the Universities of Oxford, Cambridge and UCL, and has been lecturing and giving talks internationally since the age of 13. His latest book is Quantum Mechanics and Avant Garde Music . What links quantum physics and avant-garde music? The entire book is devoted to this question. To put it briefly, there are many different link...

Should we question science?

I was surprised recently by something Simon Singh put on X about Sabine Hossenfelder. I have huge admiration for Simon, but I also have a lot of respect for Sabine. She has written two excellent books and has been helpful to me with a number of physics queries - she also had a really interesting blog, and has now become particularly successful with her science videos. This is where I'm afraid she lost me as audience, as I find video a very unsatisfactory medium to take in information - but I know it has mass appeal. This meant I was concerned by Simon's tweet (or whatever we are supposed to call posts on X) saying 'The Problem With Sabine Hossenfelder: if you are a fan of SH... then this is worth watching.' He was referencing a video from 'Professor Dave Explains' - I'm not familiar with Professor Dave (aka Dave Farina, who apparently isn't a professor, which is perhaps a bit unfortunate for someone calling out fakes), but his videos are popular and he...

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on...