Cited by 111Autonomous Vehicle Technology and SafetyHuman-Automation Interaction and SafetySafety Systems Engineering in Autonomy

The truth about “Self-Driving” cars

Shladover, Steven E.·2016·Scientific American

Integrity signals

Registry

Crossref · 10.1038/scientificamerican0616-52

Cites

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Claims the paper makes

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Claims other papers make about this one

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  • If an autonomous vehicle requires a human supervisor to take control quickly when circumstances exceed the driving software's capacity to manage them safely, the human supervisor is unlikely to be able to do so effectively.

    “If the vehicle then requires them to take control quickly when circumstances exceed the capacity of the driving software to manage them safely, the human supervisor is unlikely to be able to do so effectively”
  • As long as driverless vehicles aren't safer than human drivers, it will be unethical to sell them.

    “As long as driverless vehicles aren't safer than human drivers, it will be unethical to sell them”

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Authors
Shladover, S. E.
Corresponding author
Shladover, Steven E.
Venue
Scientific American
Published
2016-05-17
Volume
314
Issue
6
Pages
52-57
ISSN
0036-8733 (ISSN-L)
OpenAlex
W2408386558
Cited by
111
References
0
Citations by year
2026: 3 · 2025: 6 · 2024: 10 · 2023: 8 · 2022: 10 · 2021: 11 · 2020: 8 · 2019: 17 · 2018: 27 · 2017: 9 · 2016: 2
FWCI
14.34
Type
journal article
Language
en
Open access
closed
Locations
  • Scientific American (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Safety Systems Engineering in Autonomy
Keywords
autonomous vehicles, driverless technology, artificial intelligence

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.

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