Evidence map›Paper›PMID 41193813›Full record

ArticleNature2025

Fair human-centric image dataset for ethical AI benchmarking.

Alice Xiang, Jerone T A Andrews, Rebecca L Bourke, William Thong, Julienne M LaChance, Tiffany Georgievski, Apostolos Modas, Aida Rahmattalabbi, Yunhao Ba, Shruti Nagpal and 15 more

Abstract read
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Data After Death: Post-Mortem Ethics of Burn Patient Records and Images.Journal of burn care & research : official publication of the American Burn Association · 2026
    Review
  2. Article
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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

25 authors.

Alice XiangSony AI, New York, NY, USA. alice.xiang@sony.com.ORCID 0000-0001-7907-9353
Jerone T A AndrewsSony AI, Zurich, Switzerland.
Rebecca L BourkeSony AI, Tokyo, Japan.
William ThongSony AI, Zurich, Switzerland.
Julienne M LaChanceSony AI, New York, NY, USA.
Tiffany GeorgievskiSony AI, New York, NY, USA.
Apostolos ModasSony AI, Zurich, Switzerland.
Aida RahmattalabbiSony AI, New York, NY, USA.
Yunhao BaSony AI, New York, NY, USA.
Shruti NagpalSony AI, Bengaluru, India.
Orestis PapakyriakopoulosSony AI, Zurich, Switzerland.
Dora ZhaoSony AI, New York, NY, USA.
Jinru XueSony AI, New York, NY, USA.
Victoria MatthewsSony AI, New York, NY, USA.
Linxia GongSony AI, Zurich, Switzerland.
Austin T HoagSony AI, New York, NY, USA.
Mircea CimpoiSony AI, Zurich, Switzerland.
Swami SankaranarayananSony AI, New York, NY, USA.
Wiebke HutiriSony AI, Zurich, Switzerland.
Morgan K ScheuermanSony AI, New York, NY, USA.
Albert S AbediSony AI, New York, NY, USA.
Peter StoneSony AI, New York, NY, USA.
Peter R WurmanSony AI, New York, NY, USA.ORCID 0000-0001-9349-0624
Hiroaki KitanoSony AI, Tokyo, Japan.
Michael SprangerSony AI, Tokyo, Japan.ORCID 0000-0001-9443-7008

Funding

Sony AI
6 · The paper itself

Abstract

Computer vision is central to many artificial intelligence (AI) applications, from autonomous vehicles to consumer devices. However, the data behind such technical innovations are often collected with insufficient consideration of ethical concerns

Indexed as

Artificial IntelligenceBenchmarkingDatasets as TopicFaceFemaleHumansPrivacy

Identifiers

PMID41193813
PMCPMC12675298

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.