AI and Shared Prosperity
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 0 of its 15 references that are in the map. First posted on arXiv 18 May 2021.
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Citing papers per year: 2023: 3; 2024: 1; 2025: 0; 2026: 1.
5 papers.
- 2023GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Modelscited by 174
- 2024Societal Adaptation to Advanced AIcited by 10
- 2023A Systematic Literature Review of Human-Centered, Ethical, and Responsible AIcited by 5
- 2023Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systemscited by 2
- 2026The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotationcited by 1
- 2026The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation11 Feb 2026
- 2024Societal Adaptation to Advanced AI16 May 2024
- 2023Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systems22 Jun 2023
- 2023GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models17 Mar 2023
- 2023A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI10 Feb 2023