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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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AI Snake Oil

By: Sayash Kapoor, Arvind Narayanan
Narrated by: Landon Woodson
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Summary

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

Includes a new preface and epilogue by the authors

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.

©2024 Arvind Narayanan (P)2024 Princeton University Press Computer Science History & Culture Machine Theory & Artificial Intelligence Technology & Society Thought-Provoking Technology
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An important and well instructed book, delivering basic insights and understanding. It helps to build an understanding on the hype about AI as a mere normal trend. Why dooms day AGI is not around next year.

Focusing on AI into predictive, generative AI and content generating AI, helped alot covering different topics and fields where AI is influencing.

Also their statement as seeing AI more as just an replacement or automation is a big mistake. That we should see it as an augmentation to users or strengthen access ability. That where AI really shines.

A constructive critism om AI import topics upon good use cases

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Simple English, with good examples and in depth explanations of what the strengths and weaknesses of AI are.
includes guidance on what we need to do to ensure we avoid the traps.

A very good overview that removes some of the mysticism.

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proper dialogue on subject. well thought out. well researched. i run an ai company.

i read 20 books plus on ai this year. this is best one

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I found AI Snake Oil excellent from start to finish. The subject matter is well organised, well argued, well structured, and appropriately detailed. As someone who has worked in this field for decades, I enjoyed it immensely.

What the authors do particularly well is separate signal from noise across the three main domains they examine. Their critique of predictive AI is sharp, evidence-led, and specific about where the harms arise. Their treatment of generative AI is balanced, recognising the promise while staying honest about the accompanying challenges. I also appreciated the time they devoted to the failures of content moderation AI, and how convincingly they make the case that many deployed systems have not delivered on their claims.

A recurring strength of the book is its insistence on transparency, interpretability, and explainability (XAI) as practical imperatives, not academic luxuries. The authors repeatedly highlight how inaccessible code, opaque data practices, and “trust us” vendor narratives prevent independent scrutiny, and why that should be unacceptable in high-impact domains.

At a broader level, the book aligns with my own non-negotiables: agency, autonomy, and the sovereignty of the individual. Hard-won freedom and liberty should not be traded away for convenience or entertainment, nor justified by the fallacy that privacy must be surrendered to black-box systems in order to improve performance.

I also valued the authors’ critique of the worldview advanced by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher in The Age of AI: And Our Human Future, particularly where they fail to confront power concentration and the rich-get-richer feedback loops of Big Tech.

The point about sparse solutions for non-Western and non-English-speaking contexts is also important, and overdue for serious investment.

I rated the book four stars across all three vectors of my assessment. The only reason I did not give five is that I do not believe perfection is achievable in human creation. On a more granular scale, this is a 4.5/5.

I would recommend it to anyone with even a passing interest in AI and its societal impact, whether as a read or as an audiobook.

Black Boxes, Broken Claims, and the Case for XAI

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A well written , deep insightful look into how AI models are used in modern day. How to differentiate them and even better how to question them and their validity. A must read in today’s age of “AI hype”.

Truth in the noise of modern AI

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