Toward a Theory of Justice for Artificial Intelligence
Bibliographic Data
| ID | 9684803 |
|---|---|
| Authors | Ingeborg Gabriel (0000-0002-7552-4576, corresponding author), Iason Gabriel |
| Year | 2022 |
| Volume | 151 |
| Issue | 2 |
| Pages | 218-231 |
| Publication date | 2022-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Daedalus (JOURNAL) |
| Journal identifiers | ISSN: 0011-5266 • E-ISSN: 1548-6192 |
| Publisher | MIT Press (PUBLISHER • US) |
| DOI | 10.1162/daed_a_01911 |
| OpenAlex | W4226070618 |
| Language | EN |
| Citations received | 23 |
This essay 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 sociotechnical systems, and that the operation of these systems is increasingly shaped and influenced by AI. Consequently, 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 particular attention to the impact they have on the worst-off members of society
Distributive justice · Distributive property · Economic Justice · Economics · Epistemology · Knowledge management · Law and economics · Political philosophy · Political science · Politics · Positive economics · Sociology · Sociotechnical system · Computer Science · Ethics and Social Impacts of AI · Law · Neuroethics, Human Enhancement, Biomedical Innovations · Philosophy · Political Philosophy and Ethics
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| Unique citing works | 23 |
|---|---|
| Citations per year | 5,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 23 |