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AI Snake Oil - Arvind Narayanan, Sayash Kapoor - 2024
What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
By: Arvind Narayanan, Sayash Kapoor
Narrated by: Landon Woodson
Length: 9 hrs and 58 mins
Unabridged Audiobook
Release date: 09-24-24
Categories: Computers & Technology, Computer Science, Machine Learning
Language: English
Publisher: Princeton University Press
Format: mp3 64/48 stereo
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 Arvind Narayanan and Sayash Kapoor (P)2024 Princeton University Press
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