Queering the Audits: Community-Based Auditing of AI Harms to Queer Communities

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Computer Science > Computation and Language arXiv:2611.00345 (cs) [Submitted on 30 Oct 2026] Title: Queering the Audits: Community-Based Auditing of AI Harms to Queer Communities Authors: Organizers of QueerInAI: A Pranav, Alissa A. Valentine, Alex Markham, Beckett LeClair, Tereza Blazkova, Ekaterina Kornilitsina, Sofie H. Bruun, Gerasimos Spanakis, Anne Lauscher.

计算机科学 > 计算与语言 arXiv:2611.00345 (cs) [提交于 2026 年 10 月 30 日] 标题：Queering the Audits: Community-Based Auditing of AI Harms to Queer Communities（审计酷儿化：针对酷儿群体所受 AI 伤害的社区审计）作者：QueerInAI 组织者：A Pranav, Alissa A. Valentine, Alex Markham, Beckett LeClair, Tereza Blazkova, Ekaterina Kornilitsina, Sofie H. Bruun, Gerasimos Spanakis, Anne Lauscher。

Abstract: AI systems embed majority-group defaults into training data, evaluation metrics, and category definitions, producing documented harms for queer communities including erasure, misclassification, and discrimination. Standard technical audits often rely on aggregate measures and cannot detect harms that become visible only through the lived experience of affected communities.

摘要：人工智能系统将多数群体的默认设置嵌入到训练数据、评估指标和类别定义中，对酷儿群体造成了记录在案的伤害，包括抹除、错误分类和歧视。标准的各种技术审计通常依赖于汇总指标，无法检测到那些只有通过受影响社区的生活经验才能显现出来的伤害。

We conducted a participatory auditing workshop at EurIPS 2025 where 16 queer community members audited four case studies using the 4Cs harm taxonomy (Content, Conduct, Contact, Contract) applied across the AI lifecycle. Participants used structured worksheets and plenary synthesis to classify harms and trace them to their origins in the development pipeline.

我们在 EurIPS 2025 上举办了一场参与式审计研讨会，16 名酷儿社区成员使用应用于 AI 全生命周期的 4Cs 伤害分类法（内容、行为、接触、合同）对四个案例研究进行了审计。参与者使用结构化工作表和全体会议综合分析来对伤害进行分类，并追溯其在开发流程中的起源。

Across all four cases, participants traced harms to problem definition and data collection, and they identified contractual structures that extract value from vulnerable populations while providing minimal recourse. These findings illustrate that community-informed auditing surfaces concrete, identity-specific harms that aggregate evaluation methods risk overlooking.

在所有四个案例中，参与者将伤害追溯到问题定义和数据收集阶段，并识别出那些从弱势群体中榨取价值却仅提供极少补救措施的合同结构。这些发现表明，基于社区的审计能够揭示具体的、特定于身份的伤害，而这些伤害往往是汇总评估方法容易忽略的。