ECONOMICS OF ARTIFICIAL INTELLIGENCE (AI): Basic Bibliography
AI & ECONOMIC GROWTH
Books
Hanson, Robin. The Age of Em: Work, Love, and Life when Robots Rule the Earth. Oxford University Press.
Bostrom, Nick (2016), Superintelligence, Oxford University Press.
Theoretical
Aghion, Philippe, Benjamin Jones and Charles I. Jones (2017), “AI and Economic Growth,” Economics of Artificial Intelligence (forthcoming).
Gans, Joshua S. (2017), “Self-Regulating Artificial General Intelligence,” arXiv:1711.04309, 2017.
Korinek, Anton and Joseph E. Stiglitz (2017), “Artificial Intelligence, Worker-Replacing Technological Change, and Income Distribution” TPI Conference Presentation.
Nordhaus, William (2015), “Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth,” Working Paper, No. w21547, NBER.
Hanson, Robin, (2008), “The Economics of the Singularity,” IEEE Spectrum, 45 (6).
Hanson, Robin (2001), “Economic growth given machine intelligence,” Technical Report, University of California, Berkeley.
REFERÊNCIAS
AI & DECISION-MAKING
Agrawal, Avi, Joshua Gans and Avi Goldfarb (2018), “Human Judgment and AI Pricing,” AEA Papers and Proceedings, forthcoming.
Agrawal, Avi, Joshua Gans and Avi Goldfarb (2018), “Exploring the Impact of Artificial Intelligence: Prediction Versus Judgment,” TPI Conference, Washington DC.
Kleinberg, Jon and Lakkaraju, Himabindu and Leskovec, Jure and Ludwig, Jens and Mullainathan, Sendhil (2017), “Human Decisions and Machine Predictions,” Working Paper, N0.23180 , NBER.
Mullainathan, Sendhil, and Jann Spiess. “Machine learning: an applied econometric approach.” Journal of Economic Perspectives 31.2 (2017): 87–106.
Jon Kleinberg, Sendhil Mullainathan, Manish Raghavan (2016), “Inherent Trade-Offs in Algorithmic Fairness of Risk Scores,” arXiv:1609.05807.
Granger, Clive WJ, and Mark J. Machina (2006), “Forecasting and decision theory,” Handbook of economic forecasting 1: 81–98.
Talks
Kleinberg, Jon (2017), “Inherent Trade-Offs in Algorithmic Fairness”
Mullainathan, Sendhil (2016), “Machine Intelligence and Public Policy”
AI & AUTOMATION
Books
Bessen, James (2015), Learning by Doing: The Real Connection Between Innovation, Wages, and Wealth, Yale University Press.
Brynjolfsson, Erik and Andrew McAfee (2014), The Second Machine Age, Norton: New York.
Cowen, Tyler (2014), Average is Over, Penguin: New York.
Goldin, Claudia and Lawrence Katz (2010), The Race Between Education and Technology, Belknap Press: Cambridge.
Theoretical
Acemoglu, Daron and Pascual Restrepo (2018), “Modeling Automation,” mimeo., MIT.
Guerreiro, Joao, Sergio Rebelo, Pedro Teles (2017), “Should Robots be Taxed?” Working Paper, №23806, NBER.
Acemoglu, Daron and Pascual Restrepo (2017), “The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares and Employment,” mimeo., MIT.
Acemoglu, Daron and David Autor (2012), “What Does Human Capital Do? A Review of Goldin and Katz’s The Race between Education and Technology,” Journal of Economic Literature, 50(2), pp. 426–463.
Sachs, Jeffrey C. and Lawrence Kotlikoff (2012), “Smart Machines and Long-Term Misery,” Working Paper, №18629 , NBER.
Empirical
Acemoglu, Daron and Pascual Restrepo (2018), “Demographics and Automation,” Working Paper №24421, NBER.
Acemoglu, Daron and Pascual Restrepo (2017), “Robots and Jobs: Evidence from US Labor Markets,” mimeo., MIT.
Acemoglu, Daron and Pascual Restrepo (2017), “Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation,” American Economic Review Papers and Proceedings (forthcoming).
Mann, Katja and Lukas Püttmann (2017), “Benign Effects of Automation: New Evidence from Patent Texts,” mimeo.
Autor, David H. (2015), “Why Are There Still So Many Jobs? The History and Future of Workplace Automation,” Journal of Economic Perspectives, Summer, 29(3), 3–30.
Bessen, James (2012), “More Machines, Better Machines…Or Better Workers?” Journal of Economic History, 72(1), pp, 44–74.
Bessen, James (2011), “Was Mechanization De-Skilling? The Origins of Task-Biased Technical Change,” Boston Univ. School of Law Working Paper №11–13.
Acemoglu, Daron and David Autor (2011), “Skills, Tasks and Technologies: Implications for Employment and Earnings,” Handbook of Labor Economics, 4(B), pp. 1043–1171.
Autor, David, Frank Levy and Richard J. Murnane (2002), “Upstairs, Downstairs: Computers and Skills on Two Floors of a Large Bank,” Industrial and Labor Relations Review, April, 55 (3), 432–447.
Autor, David H. (2001), “Wiring the Labor Market,” Journal of Economic Perspectives, Winter, 15(1), 25–40.
Autor, David, Lawrence Katz and Alan Krueger (1998), “Computing Inequality: Have Computers Changed the Labor Market?” Quarterly Journal of Economics, November, 113(4), 1169–1214.
AI & ECONOMETRICS
Athey, Susan and Stefan Wager (2016), “Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,” JASSA (forthcoming).
Athey, Susan, Raj Chetty, Guido W. Imbens, Hyunseung Kang (2016), “Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index,” arXiv:1603.09326.
Athey, Susan (2015), “Machine Learning and Causal Inference for Policy Evaluation,” KDD ’15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Pages 5–6
Igami, Mitsuru (2017), “Artificial Intelligence as Structural Estimation: Economic Interpretations of Deep Blue, Bonanza, and AlphaGo,” mimeo., Yale.
Links to Talks
Athey, Susan, “Machine Learning and Causal Inference for Policy Evaluation,” 2015.
Athey, Susan and Guido Imbens, NBER Summer Institute on Machine Learning, 2015.