Harms of AI
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Abstract
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Note: EFG IO LS PR
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Other versions of this item:
- Acemoglu, Daron, 2021. "Harms of AI," CEPR Discussion Papers 16524, C.E.P.R. Discussion Papers.
Citations
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Cited by:
- Ilan Noy & Tomáš Uher, 2022. "Four New Horsemen of an Apocalypse? Solar Flares, Super-volcanoes, Pandemics, and Artificial Intelligence," Economics of Disasters and Climate Change, Springer, vol. 6(2), pages 393-416, July.
- Caselli, Mauro & Fracasso, Andrea, 2021. "Covid-19 and Technology," GLO Discussion Paper Series 1001, Global Labor Organization (GLO).
- Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
- Alonso, Cristian & Berg, Andrew & Kothari, Siddharth & Papageorgiou, Chris & Rehman, Sidra, 2022.
"Will the AI revolution cause a great divergence?,"
Journal of Monetary Economics, Elsevier, vol. 127(C), pages 18-37.
- Cristian Alonso & Mr. Andrew Berg & Siddharth Kothari & Mr. Chris Papageorgiou & Sidra Rehman, 2020. "Will the AI Revolution Cause a Great Divergence?," IMF Working Papers 2020/184, International Monetary Fund.
- Alessandro Sterlacchini, 2022. "AI Patenting and Employment: Evidence from the World's Top R&D Investors," Working Papers 462, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
- Kowalewski, Oskar & Pisany, Paweł, 2022.
"Banks' consumer lending reaction to fintech and bigtech credit emergence in the context of soft versus hard credit information processing,"
International Review of Financial Analysis, Elsevier, vol. 81(C).
- Kowalewski & Pawel Pisany, 2021. "Banks’ consumer lending reaction to fintech and bigtech credit emergence in the context of soft versus hard credit information processing," Working Papers 2021-ACF-07, IESEG School of Management.
- DELBONO Flavio & REGGIANI Carlo & SANDRINI Luca, 2021. "Strategic data sales to competing firms," JRC Working Papers on Digital Economy 2021-05, Joint Research Centre.
- Jeffrey K. Aronson, 2022. "Artificial Intelligence in Pharmacovigilance: An Introduction to Terms, Concepts, Applications, and Limitations," Drug Safety, Springer, vol. 45(5), pages 407-418, May.
More about this item
JEL classification:
- J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
- L40 - Industrial Organization - - Antitrust Issues and Policies - - - General
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2021-09-27 (Big Data)
- NEP-COM-2021-09-27 (Industrial Competition)
- NEP-ISF-2021-09-27 (Islamic Finance)
- NEP-LMA-2021-09-27 (Labor Markets - Supply, Demand, and Wages)
- NEP-LTV-2021-09-27 (Unemployment, Inequality and Poverty)
- NEP-REG-2021-09-27 (Regulation)
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