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AI Snake Oil by Arvind Narayanan & Sayash Kapoor
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AI Snake Oil

What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference

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Narrator Landon Woodson

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Length 9 hours 58 minutes
Language English
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This audiobook narrated by Landon Woodson reveals what you need to know about AI—and how to defend yourself against bogus AI claims and products

Comes with a bonus track featuring an illuminating discussion by Arvind Narayanan and Sayash Kapoor

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

While acknowledging the potential of some AI, such as ChatGPT, AI Snake Oil uncovers rampant misleading claims about the capabilities of AI and describes the serious harms AI is already causing in how it's being built, marketed, and used in areas such as education, medicine, hiring, banking, insurance, and criminal justice. The book explains the crucial differences between types of AI, why organizations are falling for AI snake oil, why AI can't fix social media, why AI isn't an existential risk, and why we should be far more worried about what people will do with AI than about anything AI will do on its own. The book also warns of the dangers of a world where AI continues to be controlled by largely unaccountable big tech companies.

By revealing AI's limits and real risks, AI Snake Oil will help you make better decisions about whether and how to use AI at work and home.

Arvind Narayanan is professor of computer science at Princeton University and director of its Center for Information Technology Policy. He is the coauthor of Bitcoin and Cryptocurrency Technologies (Princeton) and Fairness and Machine Learning. Sayash Kapoor is a PhD candidate in computer science at Princeton. He previously worked as a software engineer at Facebook, where he helped create AI for content moderation. To learn more, please visit AISnakeOil.com.

Arvind Narayanan is professor of computer science at Princeton University and director of its Center for Information Technology Policy. He is the coauthor of Bitcoin and Cryptocurrency Technologies (Princeton) and Fairness and Machine Learning. Sayash Kapoor is a PhD candidate in computer science at Princeton. He previously worked as a software engineer at Facebook, where he helped create AI for content moderation. To learn more, please visit AISnakeOil.com.

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Reviews

A Publishers Weekly Fall Science Preview Top 10 "As artificial intelligence proliferates, more and more hinges on our ability to articulate our own value. We seem to be on the cusp of a world in which workers of all kinds—teachers, doctors, writers, photographers, lawyers, coders, clerks, and more—will be replaced with, or to some degree sidelined by, their A.I. equivalents. What will get left out when A.I. steps in? . . . . [Narayanan and Kapoor] approach the question on a practical level. They urge skepticism, and argue that the blanket term 'A.I.' can serve as a kind of smoke screen for underperforming technologies. . . . [AI Snake Oil isn't] just describing A.I., which continues to evolve, but characterizing the human condition."—Joshua Rothman, New Yorker "The experienced authors bring a wealth of knowledge to their subject. . . . Written in language that even nontechnical readers can understand, the text provides plenty of practical suggestions that can benefit creators and users alike. It's also worth noting that Narayanan and Kapoor write a regular newsletter to update their points. Highly useful advice for those who work with or are affected by AI—i.e., nearly everyone."—Kirkus Reviews, starred review "The first step to understanding AI better is coming to terms with the vagueness of the term. . . . AI Snake Oil divides artificial intelligence into two subcategories: predictive AI, which uses data to assess future outcomes; and generative AI, which crafts probable answers to prompts based on past data. It's worth it for anyone who encounters AI tools, willingly or not, to spend at least a little time trying to better grasp key concepts."—Reece Rogers, WIRED "A worthwhile read whether you make policy decisions, use AI in the workplace or just spend time searching online. It's a powerful reminder of how AI has already infiltrated our lives—and a convincing plea to take care in how we interact with it."—Elizabeth Quill, Science News "Effectively translates the technical to the practical."—John Warner, Inside Higher Ed "[A] solid overview of AI's defects."—Publishers Weekly "Arvind Narayanan and Sayash Kapoor write about AI capabilities in a wide range of settings, from criminal sentencing to moderating social media. My favorite part of the book is Chapter 5, which takes the arguments of AI doomers head-on."—Timothy B. Lee, Understanding AI "The authors admirably differentiate fact from opinion, draw from personal experience, give sensible reasons for their views (including copious references), and don't hesitate to call for action. . . . If you're curious about AI or deciding how to implement it, AI Snake Oil offers clear writing and level-headed thinking."—Jean Gazis, PracticalECommerce "Well-informed, clear and persuasive—the cool breeze of knowledge and good sense are a good antidote to anybody inclined to believe the hyped claims and fears."—Diane Coyle, Enlightened Economist Expand reviews
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