Training humans to detect AI-generated faces.
- DOI
- 10.1073/pnas.2602122123
- Published
- 2026 Jul 7
- Container
- Proceedings of the National Academy of Sciences of the United States of America
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1073/pnas.2602122123,
title = {Training humans to detect AI-generated faces.},
author = {Dawel A and George T and Mah EY and Dunn JD and Sutherland CAM and Argument N and Tanaka JW},
year = {2026},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
doi = {10.1073/pnas.2602122123},
url = {https://doi.org/10.1073/pnas.2602122123}
}RIS
TY - JOUR TI - Training humans to detect AI-generated faces. AU - Dawel A AU - George T AU - Mah EY AU - Dunn JD AU - Sutherland CAM AU - Argument N AU - Tanaka JW PY - 2026 JO - Proceedings of the National Academy of Sciences of the United States of America DO - 10.1073/pnas.2602122123 UR - https://doi.org/10.1073/pnas.2602122123 ER -
APA
A, D., T, G., EY, M., JD, D., CAM, S., N, A., & JW, T. (2026). Training humans to detect AI-generated faces.. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2602122123
Source records
- pubmed · retrieved 2026-09-26T19:41:34.372Z