Skip to main content

The Digital Mind - Arlindo Oliveira ***

According to the blurb, this book is a 'delightful romp through computer science, biology, physics and much else...' It certainly is no delightful romp. The Digital Mind is probably best described as an academic's idea of what a popular science book is like. The result is a strange mix of reasonably readable text with unnecessary academic terminology, some incomprehensible 'explanation' and even the incumbrance of inline references.

What Arlindo Oliveira sets out to do is certainly broad in sweep. He gives us background chapters on the development of electronics, computing, AI, cells, the brain and more, then brings them all together in a synthesis that examines the possibilities and implications of artificial minds, whether limited - for example, does Google have a kind of mind? - to being fully conscious. Without doubt there's a lot to interest the reader here, particularly once Oliveira gets to the synthesis part.

Of the introductory bits, not entirely surprising given Oliveira is a computer science professor, the computing parts probably work best. The biological parts seemed rather dull to read, and though there's plenty of material there, it certainly wasn't the best introduction to cells or the workings of the brain. However, the reader who persists will be rewarded with genuinely interesting material on how we should treat an artificial intelligence, what the implications of copying a digital intelligence are and so forth. Interestingly Oliveira did not regard the concept of a conscious AI as 'speculation' - he left that to the Singularity.

Perhaps the most worrying part was some not entirely accurate history of science. We are told 'Later in the nineteenth century, punched cards would be used in the first working mechanical computer, developed by Charles Babbage' - but unfortunately, they weren't, it was never built. We are also told a working version of Babbage's Analytical Engine was made in 1992 and is on display in the Science Museum - but it wasn't. That's a working version of his mechanical calculator, the Difference Engine (No 2) - not a computer. There's also an occasional tendency to hyperbole. 'I belong to the first generation to design, build, program, use and understand computers,' says Oliveira. That would make him of Alan Turing's generation - but the author doesn't look over 100 in his photo.

While the speculative part of the book (by which I mean all the AI stuff, not just the chapter on the Singularity labelled Speculations) is very interesting, it can be quite dismissive of others' views. Oliveira seems to have no time for Good Old Fashioned AI (he should have read Common Sense, The Turing Test and the Search for Real AI) and dismisses Roger Penrose's ideas of a quantum component to consciousness as making him an 'undercover dualist', which they surely don't.

Overall, then, fairly plodding (certainly no romping) in the introductory sections, but worth reading, if you are interested in AI, for the later sections and their stimulating ideas.

Hardback:  

Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

Mathematics with Love – Mary Stopes-Roe *****

Admittedly it’s early days (this review is written in January), but this, for me, is the surprise hit of the year so far! I approached this book with trepidation, but found it absolutely delightful. It is described on the cover as the “courtship correspondence of Barnes Wallis, inventor of the bouncing bomb”, and contains a series of letters between Wallis and his cousin and eventual wife Molly Bloxham, along with some useful annotation by their daughter, Mary. The courtship itself is not without difficulties, as Wallis was 18 years older than the 17-year-old Molly at the start of the correspondence, and her father, not surprisingly, wasn’t too pleased about the interest of such an elderly suitor, but that isn’t the only reason the letters are interesting – it’s also because of maths, and Wallis’s position in the UK as the engineering hero of the Second World War. (Incidentally, it seemed very strange to see letters addressed to “Barnes” – I had always assumed Barnes Wallis was a ...

Data Empire - Roopika Risam ****

The central thesis presented by Roopika Risam is that information gives us (and particularly countries) the power to organise, control and dominate others. Although I have a couple of issues with the presentation, this is a genuinely interesting trip through the history of our use of stored information from the earliest tallies to the latest information technology. I loved a quote from Lisa Gitelman that data is is always 'cooked' so 'raw data is an oxymoron'. This neatly underlines Risam's thesis that data and information are not neutral facts, but rather tools that (like everything from fire to electronics) can be used for good or evil. As we are taken through the historical context, it can sometimes be a little difficult to judge whether Risam regards a particular example as bad or good, even when the outcome is disastrous. One thing I didn't like too much is the adherence to a popular science writing approach that has got distinctly hackneyed: opening chapte...

Andrew Jaffe - Five way interview

Andrew Jaffe is professor of astrophysics and cosmology at Imperial College, London and director of the Imperial Centre for Inference and Cosmology. His new book is The Random Universe. Why science? I’ve always been interested in science, in particular in  astronomy, astrophysics, and space. One of my earliest memories - back in nursery school in New Jersey, I think - was watching one of the moon launches. I wanted that excitement to be part of my life! I never got to be an astronaut, but I did get to be part of the Planck Satellite team, and was privileged to be able to travel to the ESA Spaceport in French Guiana to watch the launch.  In between, I was lucky enough to have a supportive family, get a good education, and find inspiring teachers, mentors, and collaborators. They helped me model the universe, and helped me learn how to refine those models in the face of experimental and observational evidence. That is, they taught me to be a scientist. Why this book? The Random...