A new paper proposes "cripping AI," a framework that centers the lived experiences of people with disabilities in AI development. This approach aims to dismantle ableist assumptions within AI design and evaluation, prioritize disabled ways of knowing, and acknowledge the labor involved in creating accessible AI practices. The paper illustrates this framework with case studies in sign language, visual assistive AI, and speech AI, and suggests future directions for inclusive AI development. AI
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IMPACT Challenges current AI development paradigms by advocating for the inclusion of disability perspectives and dismantling ableist assumptions.
RANK_REASON Academic paper proposing a new framework for AI development. [lever_c_demoted from research: ic=1 ai=1.0]