诚实的代价由谁承担？FAccT 研讨会关于公平 AI 披露的综合研究议程
Who Bears the Cost of Honesty? A FAccT Workshop Synthesis and Research Agenda for Equitable AI Disclosure
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中文总结 AI 辅助
本文结合 FAccT 研讨会成果，探讨 AI 披露的代价，提出两阶段研讨会方法、主题综合及“诚实代价栈”框架，为公平 AI 披露提供研究方向。
中文摘要 AI 辅助
AI 披露正日益被推广，有时还被要求作为实现透明度、问责制、溯源性和信任的途径。然而，披露也可能让 AI 用户面临怀疑、污名（例如能力惩罚）和监控，尤其对少数群体影响更大。本文报告了 2026 年 ACM 公平性、问责制与透明度会议（FAccT）上名为“诚实的代价由谁承担？”的 CRAFT 研讨会，该研讨会采用情景锚定权力映射和设计虚构方法，探索 AI 披露规范与指令下产生的益处、危害、张力及权力不对称。我们记录了研讨会设计并分析了参与者共同创建的披露方法，包括 4 份已完成的权力地图、3 份情境卡片和 1 个界面原型，这些产物覆盖教育、职场、政治/新闻业及人际情境，将披露描绘为多主体问责过程，揭示了与可访问性相关的 AI 可能在绩效评估中被用来针对员工的担忧，并探索了情境化、自下而上的披露如何在支持透明度的同时减轻部分污名和误解风险。我们贡献了：（1）已记录的两阶段研讨会方法；（2）基于产物的主题综合；（3）诊断框架“诚实代价栈”，附带临时设计建议和研究方向。
英文摘要
AI disclosure is increasingly promoted and sometimes required as a route to transparency, accountability, provenance, and trust. Yet disclosure can also expose AI users to suspicion, stigma (e.g., competence penalties), and surveillance, affecting minoritized groups in particular. This paper reports on Who Bears the Cost of Honesty?, a CRAFT workshop at the 2026 ACM Conference on Fairness, Accountability, and Transparency that used scenario-anchored power mapping and design fiction to explore the benefits, harms, tensions, and power asymmetries that emerge under AI disclosure norms and mandates. We document the workshop design and analyze the disclosure approaches participants co-created, comprising four completed power maps, three context cards, and one interface prototype. These artifacts span education, workplace, politics/journalism, and interpersonal contexts. They depict disclosure as a multi-actor accountability process, surface concerns that the use of accessibility-related AI could be held against workers in performance evaluations, and explore how context-specific, bottom-up disclosures may support transparency while mitigating some risks of stigma and misinterpretation. We contribute (1) a documented two-stage workshop method; (2) an artifact-grounded thematic synthesis; and (3) a diagnostic framework, the Cost-of-Honesty Stack, with provisional design suggestions and research directions.
