揭露AI论文评审中伪造评审人身份的行为及其危害
Identity Theft in AI Conference Peer Review
- 伪造评审人账号操控论文评审过程
- 暴露评审招募与身份验证流程漏洞
- 适用于关注学术诚信与评审制度的科研人员
我们讨论了人工智能（AI）研究领域新发现的科学同行评审过程中存在的身份盗用案例，其影响范围可能波及更多学术环节。本文详细描述了不端研究人员如何通过创建虚假评审人档案来操纵论文评估，利用评审员招募流程和身份验证机制中的薄弱环节。研究结果凸显了在同行评审及整个学术界加强防范身份盗用的紧迫性，并提出了相应的缓解策略。
原文摘要 · Abstract (English)
We discuss newly uncovered cases of identity theft in the scientific peer-review process within artificial intelligence (AI) research, with broader implications for other academic procedures. We detail how dishonest researchers exploit the peer-review system by creating fraudulent reviewer profiles to manipulate paper evaluations, leveraging weaknesses in reviewer recruitment workflows and identity verification processes. The findings highlight the critical need for stronger safeguards against identity theft in peer review and academia at large, and to this end, we also propose mitigating strategies.
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