Identity Theft in AI Conference Peer Review

Highlighting the critical need for stronger safeguards against identity theft in peer review and academia at large and proposing mitigating strategies.

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Publication Details

Journal
Communications of the ACM
Published
2025-11-24
DOI
https://doi.org/10.1145/3736703
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Identity Theft in AI Conference Peer Review

Andrew McCallum, Nihar B. Shah, Xukun Liu, Melisa Bok
Communications of the ACM
Scientific Computing and Data Management
article

Identity Theft in AI Conference Peer Review

Andrew McCallum, Nihar B. Shah, Xukun Liu, Melisa Bok
article en

Abstract

Highlighting the critical need for stronger safeguards against identity theft in peer review and academia at large and proposing mitigating strategies.

Communications of the ACMVol. 68(12)
University of Massachusetts Amherst (US), Carnegie Mellon University (US)
Openalex Percentile: Top 66%
Scientific Computing and Data Management
DOISourceOpenAlex
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Identity Theft in AI Conference Peer Review — Andrew McCallum, Nihar B. Shah, et al. · Communications of the ACM (2025) | TGRS Research Map | TGRS