Cited by 42Ethics and Social Impacts of AIEthics in Business and EducationPhilosophical Ethics and Theory

When AI ethics Goes astray: a case study of autonomous vehicles

Etienne, Hubert·2022·Social Science Computer Review

Abstract

This article discusses the dangers of the Moral Machine (MM) experiment, alerting against both its uses for normative ends and the whole approach it is built upon to address ethical issues. It explores additional methodological limits of the experiment on top of those already identified by its authors; exhibits the dangers of computational moral systems for modern democracies, such as the “voting-based system” recently developed out of the MM’s data; and provides reasons why ethical decision-making fundamentally excludes computational social choice methods.

Integrity signals

Registry

Crossref · 10.1177/0894439320906508

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Etienne, H.
Affiliations
École Normale Supérieure - PSL (FR)
Corresponding author
Etienne, Hubert
Venue
Social Science Computer Review
Published
2020-02-28
Volume
40
Issue
1
Pages
236-246
ISSN
  • 0894-4393 (ISSN-L)
  • 1552-8286
OpenAlex
W3008980120
Cited by
42
References
21
Citations by year
2026: 1 · 2025: 8 · 2024: 10 · 2023: 9 · 2022: 7 · 2021: 7
FWCI
7.84
Type
journal article
Language
en
Open access
closed
Locations
Social Science Computer Review (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
  • Social Sciences › Arts and Humanities › Philosophy › Philosophical Ethics and Theory
Keywords
autonomous vehicles, AI ethics, normative ethics, computational social choice, ethical decision-making, methodological limitations

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review