Reassessing demographic bias in face attribute classification: a statistically grounded multi-model evaluation on FairFace and UTKFace.

Nemavhola A, Viriri S, Chibaya C

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DOI: 10.3389/frai.2026.1817529
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1817529,
  title = {Reassessing demographic bias in face attribute classification: a statistically grounded multi-model evaluation on FairFace and UTKFace.},
  author = {Nemavhola A and Viriri S and Chibaya C},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1817529},
  url = {https://doi.org/10.3389/frai.2026.1817529}
}

RIS

TY  - JOUR
TI  - Reassessing demographic bias in face attribute classification: a statistically grounded multi-model evaluation on FairFace and UTKFace.
AU  - Nemavhola A
AU  - Viriri S
AU  - Chibaya C
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1817529
UR  - https://doi.org/10.3389/frai.2026.1817529
ER  -

APA

A, N., S, V., & C, C. (2026). Reassessing demographic bias in face attribute classification: a statistically grounded multi-model evaluation on FairFace and UTKFace.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1817529

Source records

pubmed · retrieved 2026-09-25T22:22:15.862Z
europe-pmc · retrieved 2026-09-25T22:22:15.893Z
doaj · retrieved 2026-09-25T22:22:15.878Z