探讨如何通过残疾人群体主导的愿景，实现人工智能与数据正义的包容性未来。
Disability data futures: Achievable imaginaries for AI and disability data justice
- 以残障人士为中心，重构数据与AI系统的设计逻辑。
- 提出可实现的未来图景：数据系统支持残障正义而非加剧排斥。
- 适合关注算法公平、社会正义的研究者与政策制定者。
数据是当代国家与系统中个体身份与经验被过滤的媒介，而人工智能正日益成为人、数据与决策之间的中介层。数据与人工智能的历史常伴随对残障群体的排斥、压迫以及对其经验的简化；若不加以挑战，当前人工智能与数据系统的泛滥可能在算法中立的表象下进一步自动化歧视。然而，排斥性历史并不意味着无法构建包容性未来。本章汇聚四位在残障、数据与人工智能交叉领域工作的学者与倡导者，共同描绘了人工智能与残障数据正义的可实现未来图景。基于多元背景、学科视角与个人经历，我们勾勒出未来系统应有的形态、行动者及目标——数据与人工智能应服务于残障正义的集体行动。
原文摘要 · Abstract (English)
Data are the medium through which individuals' identities and experiences are filtered in contemporary states and systems, and AI is increasingly the layer mediating between people, data, and decisions. The history of data and AI is often one of disability exclusion, oppression, and the reduction of disabled experience; left unchallenged, the current proliferation of AI and data systems thus risks further automating ableism behind the veneer of algorithmic neutrality. However, exclusionary histories do not preclude inclusive futures, and disability-led visions can chart new paths for collective action to achieve futures founded in disability justice. This chapter brings together four academics and disability advocates working at the nexus of disability, data, and AI, to describe achievable imaginaries for artificial intelligence and disability data justice. Reflecting diverse contexts, disciplinary perspectives, and personal experiences, we draw out the shape, actors, and goals of imagined future systems where data and AI support movement towards disability justice.
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