Evidence map›Paper›PMID 34388216›Full record

ArticlePloS one2021

Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis.

Veljko Dubljevic, George List, Jovan Milojevich, Nirav Ajmeri, William A Bauer, Munindar P Singh, Eleni Bardaka, Thomas A Birkland, Charles H W Edwards, Roger C Mayer and 5 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Veljko DubljevicNorth Carolina State University, Raleigh, NC, United States of America.ORCID 0000-0003-3606-587X
George ListNorth Carolina State University, Raleigh, NC, United States of America.
Jovan MilojevichOklahoma State University, Stillwater, Oklahoma, United States of America.
Nirav AjmeriNorth Carolina State University, Raleigh, NC, United States of America.
William A BauerNorth Carolina State University, Raleigh, NC, United States of America.
Munindar P SinghNorth Carolina State University, Raleigh, NC, United States of America.
Eleni BardakaNorth Carolina State University, Raleigh, NC, United States of America.
Thomas A BirklandNorth Carolina State University, Raleigh, NC, United States of America.
Charles H W EdwardsUniversity of North Carolina, Chapel Hill, NC, United States of America.
Roger C MayerNorth Carolina State University, Raleigh, NC, United States of America.
Ioan MunteanUniversity of North Carolina, Asheville, NC, United States of America.
Thomas M PowersUniversity of Delaware, Newark, Delaware, United States of America.
Hesham A RakhaVirginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.
Vance A RicksGuilford College, Greensboro, NC, United States of America.
M Shoaib SamandarNorth Carolina State University, Raleigh, NC, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impacts of autonomous vehicles (AV) are widely anticipated to be socially, economically, and ethically significant. A reliable assessment of the harms and benefits of their large-scale deployment requires a multi-disciplinary approach. To that end, we employed Multi-Criteria Decision Analysis to make such an assessment. We obtained opinions from 19 disciplinary experts to assess the significance of 13 potential harms and eight potential benefits that might arise under four deployments schemes. Specifically, we considered: (1) the status quo, i.e., no AVs are deployed; (2) unfettered assimilation, i.e., no regulatory control would be exercised and commercial entities would "push" the development and deployment; (3) regulated introduction, i.e., regulatory control would be applied and either private individuals or commercial fleet operators could own the AVs; and (4) fleets only, i.e., regulatory control would be applied and only commercial fleet operators could own the AVs. Our results suggest that two of these scenarios, (3) and (4), namely regulated privately-owned introduction or fleet ownership or autonomous vehicles would be less likely to cause harm than either the status quo or the unfettered options.

Indexed as

Models, StatisticalAccidents, TrafficAttitudeAutomationAutomobile DrivingAutonomous VehiclesDecision Support TechniquesHumansMoralsOwnershipSurveys and Questionnaires

Identifiers

PMID34388216
PMCPMC8363020

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.