Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He received his Ph.D. in Economics from Yale University and was an Assistant Professor there for seven years. He has won two teaching awards and written (or co-authored) more than eighty academic papers and twelve books including Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, What the Luck? The Surprising Role of Chance in Our Everyday Lives, and Money Machine: The Surprisingly Simple Power of Value Investing. His research has been featured by Bloomberg Radio Network, CNBC, The Brian Lehrer Show, Forbes, The New York Times, Wall Street Journal, Motley Fool, Newsweek, and BusinessWeek.
Prof Smith delivers a strong defense of the scientific method - theory before data - and clearly demonstrates the limitations of 'AI' and 'Big Data'. - Chris Nelson, CFO Universal Studios Hollywood Data professionals and consumers can benefit from Smith's entertaining and accessible demonstration that more computing power and more data do not imply more intelligence. We need to have more confidence in our human intellect. Humans may have common sense and an appreciation of context. Computers uniformly have none. - Eric Engberg, Data Scientist and Software Engineer, Wells Fargo You won't need a degree in linear algebra or multivariate calculus to understand Gary Smith's The AI Delusion -- a no-nonsense look at the limitations of Big Data. - Andrew Sloves, Former Managing Director at JP Morgan Professor Gary Smith demonstrates why artificial intelligence doesn't live up to the hype. He uses a wide variety of real-world examples to illustrate the risks of taking humans out of the decision-making process. The book is required reading for all organizations that are looking to make critical decisions based solely on artificial intelligence. - Karl J. Meyer, Partner at Kleiner Perkins Caufield & Byers