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Disability data futures: Achievable imaginaries for AI and disability data justice

arXiv 2411.03885 ↗First posted 6 Nov 2024cs.HC cs.AIcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 43 references that are in the map. First posted on arXiv 6 Nov 2024.

Builds on

2 of 43 references.

References · 2

  1. 2024The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Actioncited by 6
  2. 2022Definition drives design: Disability models and mechanisms of bias in AI technologiescited by 5

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