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AI Books for Researchers

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AI is no longer just a technology, it is reshaping research, business, economics, education, and public policy. This carefully curated collection brings together the best AI books for researchers, graduate students, and professionals who want to unde...
 
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Unlike many AI books that focus on technical implementation, Prediction Machines explains AI through the economics of prediction and decision-making. I highly recommend it to researchers, graduate students, and professionals who want to understand AI...
Prediction Machines: Economics of AI
 
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A unique blend of science fiction and expert analysis that explores how artificial intelligence could reshape society, business, healthcare, education, and the global economy over the next two decades. An inspiring read for researchers interested in ...
AI 2041: Ten Visions for Our Future
 
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A thought-provoking book that explores the social, political, and economic foundations of artificial intelligence. Kate Crawford reveals how AI is shaped by power, labor, data, and environmental resources, making it essential reading for researchers ...
Atlas of AI: Power, Politics & Planetary Costs
 
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This book shifted the perspective from what AI can do to how AI should be designed. It offers a thoughtful framework for understanding AI safety, human values, and responsible innovation.
Human Compatible: AI and the Problem of Control
 
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I picked this up wanting a physicist's take on AI, and that's exactly what I got. Tegmark walks through near-term, mid-term, and far-future scenarios without ever sounding like sci-fi. Great starting point if you want the big picture before diving in...
Life 3.0: Being Human in AI Age
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A must-read for researchers, educators, and professionals using AI in their daily work. This book provides practical guidance on working alongside generative AI to boost productivity, creativity, and critical thinking without replacing human expertis...
Co-Intelligence: Living and Working with AI
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