Evidence map›Paper›PMID 34381820›Full record

ArticleFrontiers in robotics and AI2021

IEEE P7001: A Proposed Standard on Transparency.

Alan F T Winfield, Serena Booth, Louise A Dennis, Takashi Egawa, Helen Hastie, Naomi Jacobs, Roderick I Muttram, Joanna I Olszewska, Fahimeh Rajabiyazdi, Andreas Theodorou and 3 more

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Let Me Take Over: Variable Autonomy for Meaningful Human Control.Frontiers in artificial intelligence · 2021
    Article
  9. Review
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

13 authors.

Alan F T WinfieldBristol Robotics Laboratory, UWE Bristol, Bristol, United Kingdom.
Serena BoothComputer Science and AI Laboratory (CSAIL), MIT, Cambridge, MA, United States.
Louise A DennisDepartment of Computer Science, University of Manchester, Manchester, United Kingdom.
Takashi EgawaNEC Corporation, Tokyo, Japan.
Helen HastieDepartment of Computer Science, Heriot-Watt University, Edinburgh, United Kingdom.
Naomi JacobsImaginationLancaster, Lancaster Institute for Contemporary Arts, University of Lancaster, Lancaster, United Kingdom.
Roderick I MuttramFourth Insight Ltd, Ewhurst, United Kingdom.
Joanna I OlszewskaSchool of Computing and Engineering, University of the West of Scotland, Paisley, United Kingdom.
Fahimeh RajabiyazdiDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Andreas TheodorouDepartment of Computing Science, Umeå University, Umeå, Sweden.
Mark A UnderwoodSynchrony Financial, Stamford, CT, United States.
Robert H WorthamDepartment of Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom.
Eleanor WatsonNell Watson Ltd., Carrickfergus, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes IEEE P7001, a new draft standard on transparency of autonomous systems. In the paper, we outline the development and structure of the draft standard. We present the rationale for transparency as a measurable, testable property. We outline five stakeholder groups: users, the general public and bystanders, safety certification agencies, incident/accident investigators and lawyers/expert witnesses, and explain the thinking behind the normative definitions of "levels" of transparency for each stakeholder group in P7001. The paper illustrates the application of P7001 through worked examples of both specification and assessment of fictional autonomous systems.

Indexed as

AI ethicsautonomous systemsexplainabilityrobot ethicstransparency

Identifiers

PMID34381820
PMCPMC8351056

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.