Centering Disability Perspectives in Algorithmic Fairness, Accountability, and Transparency

It is vital to consider the unique risks and impacts of algorithmic decision-making for people with disabilities. The diverse nature of potential disabilities poses unique challenges for approaches to fairness, accountability, and transparency. Many disabled people choose not to disclose their disabilities, making auditing and accountability tools particularly hard to design and operate. Further, the variety inherent in disability poses challenges for collecting representative training data in any quantity sufficient to better train more inclusive and accountable algorithms.