Skip to main content

Brian Christian and Tom Griffiths - Four Way Interview

Brian Christian is the bestselling author of The Most Human Human, which was named a Wall Street Journal bestseller and a New Yorker favourite book of 2011. His writing has appeared in Wired, The Atlantic, The Wall Street Journal and The Paris Review, among others. Brian has been a featured guest on The Daily Show with Jon Stewart, The Charlie Rose Show, NPR's Radiolab, and the BBC, and has lectured at Google, Microsoft, SETI, the Santa Fe Institute, the Royal Institution of Great Britain, and the London School of Economics.

Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has received widespread recognition for his scientific work, including awards from the American Psychological Association and the Sloan Foundation.

Algorithms to Live By is reviewed here.

Why science?

BC: I think of my own orientation towards science in essentially religious terms. That anything exists at all (let alone life, let alone my own conscious experience) is wonderfully and sublimely mysterious. The most reverential attitude to adopt toward this grand mystery, in my view, is curiosity. One of the most powerful and profound frameworks we have for expressing that curiosity is science.

TG: When I went to university I deliberately chose not to do science, or at least to do a Bachelor of Arts rather than a Bachelor of Science degree. From my time in school I felt like science was about things that we already understand very well, and I wanted to learn about all the things that are still mysterious — minds, cultures, and thoughts. About half way through my degree I read a philosophy book that had a chapter at the very back about using mathematics to model the mind, and that was it! Suddenly I realized that it was possible to explore those mysterious things using rigorous, quantitative methods, and I was hooked.

Why this book?

BC: Since my teenage years if not even earlier, I have been fascinated by the correspondences and parallels, the homologies and isomorphisms, that exist between formal systems and natural ones. Sometimes drawing on real-world intuition enables us to solve a formal problem; sometimes it goes the other way, and a problem teaches us something that’s more broadly applicable. What we can learn about our own lives from the formal systems we’ve discovered in nature and designed in our own image? Algorithms to Live By explores and pursues this question, using computer science as a way of thinking about human decision-making.

TG: My academic research focuses on developing mathematical models of cognition, drawing on ideas from computer science — artificial intelligence and machine learning — to better understand how human minds work. As a result, I spend a lot of time thinking about the computational structure of everyday life, and out of that comes a vocabulary for describing the decision-making problems people face and a set of strategies for solving them. For me, this book is a way of sharing those insights.

What’s next?

BC: As a lover of both computer science and language, I’ve been fascinated for many years by their intersections in computational linguistics, and I’m excited to work more deeply on some projects at that particular conjunction.

TG: I’m currently working with my students and collaborators on the research questions that relate to topics we discuss in the book, specifically how thinking about human rationality in terms of using efficient algorithms (rather than always producing the right answer, regardless of the effort involved) changes the way we understand human cognition.

What’s exciting you at the moment?

BC: Data visualization. We’re living in an open-data boom, and I see this as the other great literacy, as critical in a civic context as in a scientific one.

TG: The last couple of years have seen significant advances in machine learning and artificial intelligence, and I’m excited about exploring what these advances can tell us about human minds.


Popular posts from this blog

A Tale of Seven Scientists - Eric Scerri ***

Scientists sometimes tell us we're in a post-philosophy world. For example, Stephen Hawking and Leonard Mlodinow in The Grand Design bluntly say that that philosophy is 'dead' - no longer required, as science can do its job far better. However, other scientists recognise the benefits of philosophy, particularly when it is applied to their own discipline. One such is Eric Scerri, probably the world's greatest expert on the periodic table, who in this challenging book sets out to modify the philosophical models of scientific progress.

I ought to say straight away that A Tale of Seven Scientists sits somewhere on the cusp between popular science and a heavy duty academic title. For reasons that will become clear, I could only give it three stars if rating it as popular science, but it deserves more if we don't worry too much about it being widely accessible.

One minor problem with accessibility is that I've never read a book that took so long to get started. First t…

Four Way Interview - Tom Cabot

Tom Cabot is a London-based book editor and designer with a background in experimental psychology, natural science and graphic design. He founded the London-based packaging company, Ketchup, and has produced and illustrated many books for the British Film Institute, Penguin and the Royal Institute of British Architects. Tom has held a lifelong passion to explain science graphically and inclusively ... ever since being blown away by Ray and Charles Eames’ Powers of Ten at an early age. His first book is Eureka, an infographic guide to science.

Why infographics?
For me infographics provided a way to present heavy-lifting science in an alluring and playful, but ultimately illuminating, way. And I love visualising data and making it as attractive as the ideas are.  The novelty of the presentation hopefully gets the reader to look afresh. I love the idea of luring in readers who might normally be put off by drier, more monotone science – people who left science behind at 16. I wanted the boo…

Einstein's Greatest Mistake - David Bodanis ****

Books on Einstein and his work are not exactly thin on the ground. There's even been more than one book before with a title centring on Einstein's mistake or mistakes. So to make a new title worthwhile it has do something different - and David Bodanis certainly achieves this with Einstein's Greatest Mistake. If I'm honest, the book isn't the greatest on the science or the history - but what it does superbly is tell a story. The question we have to answer is why that justifies considering this to be a good book.
I would compare Einstein's Greatest Mistake with the movie Lincoln -  it is, in effect, a biopic in book form with all the glory and flaws that can bring. Compared with a good biography, a biopic will distort the truth and emphasise parts of the story that aren't significant because they make for a good screen scene. But I would much rather someone watched the movie than never found out anything about Lincoln - and similarly I'd much rather someon…