AI and Shared Prosperity
Open accessAbstract
Future advances in AI that automate away human labor may have stark implications for labor markets and inequality. This paper proposes a framework to analyze the effects of specific types of AI systems on the labor market, based on how much labor demand they will create versus displace, while taking into account that productivity gains also make society wealthier and thereby contribute to additional labor demand. This analysis enables ethically-minded companies creating or deploying AI systems as well as researchers and policymakers to take into account the effects of their actions on labor markets and inequality, and therefore to steer progress in AI in a direction that advances shared prosperity and an inclusive economic future for all of humanity.
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Cites
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
Autor, D. H. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.3.3 · Cited by 3,917 · see citing works
The wrong kind of AI? Artificial intelligence and the future of labour demand
Acemoglu, D., & Restrepo, P. (2020) · Cambridge Journal of Regions, Economy and Society · doi:10.1093/cjres/rsz022 · Cited by 634 · see citing works
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Research works printed but not linked: 7
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GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023) · arXiv · doi:10.48550/arxiv.2303.10130 · Cited by 545 · see citing works
“…of automation technologies, including LLMs, has previously been linked to heightened economic disparity and labor disruption, which may give rise to adverse downstream effects (Acemoglu and Restrepo, 2022a; Acemoglu, 2002; Moll et al., 2021; Klinova and Korinek, 2021; Weidinger et al., 2021, 2022).”
BackgroundThe Impact of AI on Developer Productivity: Evidence from GitHub Copilot
Peng, S., Kalliamvakou, E., Cihon, P., & Demirer, M. (2023) · arXiv · doi:10.48550/arxiv.2302.06590 · Cited by 287 · see citing works
- Authors
- Klinova, K., & Korinek, A.
- Affiliations
- Partnership on AI, San Francisco, CA, USA
- University of Virginia (US)
- Venue
- Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
- Publisher
- ACM
- Published
- 2021-07-21
- Pages
- 645-651
- ISSN
- 3065-8365 (ISSN-L)
- OpenAlex
- W3162433157
- Cited by
- 28
- References
- 2
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 7 · 2023: 6 · 2022: 4 · 2021: 3
- FWCI
- 15.94
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Proceedings of the AAAI/ACM Conference on AI Ethics and Society (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Funders
- Ford Foundation
- Partnership on AI
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Keywords
- artificial intelligence, labor market outcomes, job displacement, labor demand, productivity improvement, income inequality, shared prosperity, inclusive growth, AI ethics, economic policy
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