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Toward a Theory of Justice for Artificial Intelligence

arXiv 2110.14419 ↗First posted 27 Oct 2021cs.CYcited by 7

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Abstract (arXiv)

This paper explores the relationship between artificial intelligence and principles of distributive justice. Drawing upon the political philosophy of John Rawls, it holds that the basic structure of society should be understood as a composite of socio-technical systems, and that the operation of these systems is increasingly shaped and influenced by AI. As a consequence, egalitarian norms of justice apply to the technology when it is deployed in these contexts. These norms entail that the relevant AI systems must meet a certain standard of public justification, support citizens rights, and promote substantively fair outcomes -- something that requires specific attention be paid to the impact they have on the worst-off members of society.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Oct 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 2; 2025: 1; 2026: 1.

7 papers.