arXiv cs.AI· Madiha Zahrah Choksi, Reeda Shimaz Huda, Rita Faia Marques, Anja Thieme, Cecily Morrison·· 1 天前AI 评分31
Terms of Care：残障社群如何通过情境化许可参与 AI 数据治理
Terms of Care: Designing for Participation in Data Governance by Disability Communities
AI 导读
研究团队与三家残障权益组织合作，通过半结构化访谈、教育网络研讨会和模块化许可活动，探索残障社群以情境化许可参与数据集治理的路径。模块化许可活动让社群能改编 Creative Commons 条款，自行表达允许用途、行业限制、保护要求和尊重性呈现承诺，使数据选择更可及且以价值观为导向。但原文指出，适当数据使用的监测与执行仍是未解难题。
正文 · 原文
Abstract:Improving disability representation in AI-generated media requires community-specific datasets, yet openly sharing such data can expose communities to misuse, decontextualization, and exploitation. We examine how disability communities can participate in dataset governance through context-sensitive licensing. Working with three disability advocacy organizations, we conducted semi-structured interviews, an educational webinar and modular license activity to promote community participation in data stewardship. Our findings show that governance in these high-context communities relies on organizational memory (especially situated harms); both formal authority and informal relational practices; communication; and resulting trust. The modular license activity made organizational data choices more accessible and values-led, allowing communities to adapt Creative Commons clauses to express permitted uses, sector-specific restrictions, safeguarding requirements, and commitments to respectful representation. Yet, concerns remain about monitoring and enforcing appropriate data use. We contribute (1) an empirical account of governance tensions, (2) a practical modular approach, and (3) design implications for AI data platforms that support relational, context-sensitive governance beyond standardized, one-size-fits-all frameworks.
| Comments: | 26 pages, 3 figures, 3 tables, under review |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Digital Libraries (cs.DL) |
| ACM classes: | H.m |
| Cite as: | arXiv:2611.15720 [cs.HC] |
| (or arXiv:2611.15720v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2611.15720 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Anja Thieme Dr [view email]
[v1]
Wed, 11 Nov 2026 16:58:37 UTC (845 KB)
来源：arXiv cs.AI · arxiv.org