000			02614nam a22002657a 4500
005			20241107182337.0
008			241107b |||||||| |||| 00| 0 eng d
020			_a9780691269948
037			_cPurchased _nPrism Books, Kadavanthra
041			_aEnglish
082			_a006.3 _bARA/AI
100			_aArvind Narayanan
245			_aAI SNAKE OIL _b: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
250			_a1
260			_aNew Jersey _bPrinceton University Press _c2024
300			_g348
500			_aFrom two of TIME’s 100 Most Influential People in AI, what you need to know about AI—and how to defend yourself against bogus AI claims and products 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 and 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.
505			_a1. Introduction 2. How Predictive AI goes Wrong 3. Why Can't AI Predict Future 4. Long Road to Generate AI 5. Is Advanced AI an Existential Threat 6. Why Can't AI Fix Social Media 7. Why Do Myths About AI Persist 8. Where Do We Go From Here
650			_aComputer Science
650			_aKnowledge and Systems
650			_aArtificial Intelligence (AI)
700			_aSayash Kapoor
942			_cLEN
942			_2ddc
999			_c193687 _d193687