Evidence map›Paper›PMID 33649183›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

From driverless dilemmas to more practical commonsense tests for automated vehicles.

Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E Anthony, Emilio Frazzoli

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julian De FreitasDepartment of Psychology, Harvard University, Cambridge, MA 02138; defreitas@g.harvard.edu.ORCID 0000-0003-4912-1391
Andrea CensiDepartment of Mechanical and Process Engineering, ETH Zürich, 8092 Zurich, Switzerland.
Bryant Walker SmithSchool of Law, University of South Carolina, Columbia, SC 29201.ORCID 0000-0001-9706-1333
Luigi Di LilloProperty and Casualty Solutions, Reinsurance, Swiss Reinsurance Company, Ltd., Zurich 8022, Switzerland.ORCID 0000-0001-8308-9941
Sam E AnthonyPerceptive Automata Inc., Boston, MA 02108.
Emilio FrazzoliDepartment of Mechanical and Process Engineering, ETH Zürich, 8092 Zurich, Switzerland.ORCID 0000-0002-0505-1400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing complex autonomous systems with ethically acceptable behavior. We outline how one prominent, ethically relevant component of AVs-driving behavior-is inextricably linked to stakeholders in the technical, regulatory, and social spheres of the field. Whereas humans are presumed (rightly or wrongly) to have the "common sense" to behave ethically in new driving situations beyond a standard driving test, AVs do not (and probably should not) enjoy this presumption. We examine, at a high level, how to test the common sense of an AV. We start by reviewing discussions of "driverless dilemmas," adaptions of the traditional "trolley dilemmas" of philosophy that have sparked discussion on AV ethics but have limited use to the technical and legal spheres. Then, we explain how to substantially change the premises and features of these dilemmas (while preserving their behavioral diagnostic spirit) in order to lay the foundations for a more practical and relevant framework that tests driving common sense as an integral part of road rules testing.

Indexed as

artificial intelligenceautomated drivingethicspolicypublic health

Identifiers

PMID33649183
PMCPMC7980438

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.