"An essential companion for understanding the decision theory underlying artificial intelligence, how to model the impacts of artificial intelligence on economic growth, productivity, labour markets and inequality, and how to make sense of the debate whether AI poses an existential risk"--
"An essential companion for understanding the decision theory underlying artificial intelligence, how to model the impacts of artificial intelligence on economic growth, productivity, labour markets and inequality, and how to make sense of the debate whether AI poses an existential risk"--
Wim Naudé is an economist, author, and entrepreneur. He has held appointments at Oxford University and the United Nations University (UNU) and has been a visiting faculty member at Brown University's Brown International Advanced Research Institutes. He has published widely in scientific journals, and has authored and edited books published by Palgrave Macmillan, Oxford University Press, and Routledge. He is ranked by Stanford University /Elsevier amongst the top 2 percent of scientists in the world.
Inhaltsangabe
1. Introduction 2. Artificial Intelligence and economics: a gentle introduction 3. Artificial Intelligence and the economics of decision-making 4. Artificial Intelligence in the production factor 5. Artificial Intelligence, growth and inequality 6. Investing in Artificial Intelligence: breakthroughs and backlashes 7. Artificial Intelligence arms races as innovation contests 8. Directing Artificial Intelligence innovation and diffusion 9. Artificial Intelligence, big data and public policy 10. The future of Artificial Intelligence and implications for economics.
1. Introduction 2. Artificial Intelligence and economics: a gentle introduction 3. Artificial Intelligence and the economics of decision-making 4. Artificial Intelligence in the production factor 5. Artificial Intelligence, growth and inequality 6. Investing in Artificial Intelligence: breakthroughs and backlashes 7. Artificial Intelligence arms races as innovation contests 8. Directing Artificial Intelligence innovation and diffusion 9. Artificial Intelligence, big data and public policy 10. The future of Artificial Intelligence and implications for economics.
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