Prediction Machines, Updated and Expanded
The Simple Economics of Artificial Intelligence
What does AI mean for your business? Read this book to find out. — Hal Varian, Chief Economist, GoogleArtificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction.…
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Produktdetails
Weitere Autoren: Gans, Joshua / Goldfarb, Avi
- ISBN: 978-1-64782-468-6
- EAN: 9781647824686
- Produktnummer: 38216772
- Verlag: Harvard Business Review Press
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 272 S.
- Plattform: EPUB
Über den Autor
Ajay Agrawal is Professor of Strategic Management and Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto's Rotman School of Management. He is founder of the Creative Destruction Lab, cofounder of Next 36 and Next AI, and cofounder of Sanctuary, an AI/robotics company. Ajay conducts research on the economics of innovation and is a research associate at the National Bureau of Economic Research and faculty affiliate at the Vector Institute for Artificial Intelligence.Joshua Gans is the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship and Professor of Strategic Management at Toronto's Rotman School of Management. He is Chief Economist of the Creative Destruction Lab, department editor (Strategy) at Management Science, and cofounder and managing director of Core Economic Research. Joshua has published numerous books on innovation, disruption, entrepreneurship, and most recently, pandemic economics. He is a research associate at the National Bureau of Economic Research, a research affiliate at MIT, a senior academic fellow at the e61 Institute, a distinguished fellow of the Luohan Academy, and a fellow of the Academy of Social Sciences in Australia.Avi Goldfarb is the Rotman Chair in AI and Healthcare and Professor of Marketing at Toronto's Rotman School of Management. Avi is also Chief Data Scientist at the Creative Destruction Lab, a fellow at Behavioral Economics in Action at Rotman, a faculty affiliate at the Vector Institute for Artificial Intelligence, and a research associate at the National Bureau of Economic Research. A former senior editor at Marketing Science, Avi conducts research on privacy and the economics of technology.
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