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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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About this listen

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.

©2024 Sayash Kapoor (P)2024 Princeton University Press
Computer Science History & Culture Machine Theory & Artificial Intelligence Technology & Society Thought-Provoking Technology Machine Learning

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All stars
Most relevant  
Clear explanation of how neural networks were developed and work enabled me to understand the author’s arguments about limitations and implications of predictive and generational ai in present and future. Author’s natural skepticism about threat of agi was noteworthy but not always convincing because it was based on seemingly academic reasoning - logical and valid but academic.

Truly expert overview well worth the read

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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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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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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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Nothing original here. Just the familiar roster of vaguely Luddite worries - racism, inequality and doubts about AIs effectiveness.

There is a lot that could be said about AI's future social impact, but this book fails to say it, it instead rehearsing the same old points.

Every new technology has brought general anxieties, from Plato take on writing to the telephone. There is always going to be a market for this, but I would not recommend.

Warmed over AI critique

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