Cited by 158Ethics and Social Impacts of AIPhilosophical Ethics and TheoryEthics in Business and Education

Social choice ethics in artificial intelligence

Open access
Baum, Seth D.·2020·AI & SOCIETY

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Crossref · 10.1007/s00146-017-0760-1

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6 of 6 references verified0 citation errors · 0 not checkable

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  • Social choice processes seem unable to settle deeper questions about standing, measurement, and aggregation.

    “Social choice processes therefore seem unable to settle deeper questions about standing, measurement, and aggregation (Baum 2017, 4).”

    From Artificial Intelligence, Values, and Alignment (2020) · cites this paper as Baum 2017

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Authors
Baum, S. D.
Corresponding author
Baum, Seth D.
Venue
AI & SOCIETY
Published
2017-09-30
Volume
35
Issue
1
Pages
165-176
ISSN
  • 0951-5666 (ISSN-L)
  • 1435-5655
OpenAlex
W2757072513
Cited by
158
References
6
Citations by year
2026: 16 · 2025: 20 · 2024: 19 · 2023: 44 · 2022: 14 · 2021: 20 · 2020: 12 · 2019: 7 · 2018: 3 · 2017: 3
FWCI
14.83
Type
journal article
Language
en
Open access
Locations
  • AI & Society (publishedVersion)
  • SSRN Electronic Journal (submittedVersion)
Funders
Future of Life Institute
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Arts and Humanities › Philosophy › Philosophical Ethics and Theory
  • Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
Keywords
AI ethics, future generations

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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