AI Accountability

The principle that developers, deployers, and operators of AI systems should be held responsible for the outcomes those systems produce, including negative effects on marginalized populations such as people with disabilities. AI accountability encompasses transparency about how AI systems make decisions, recourse mechanisms for those harmed by AI decisions, regular auditing of AI systems for bias and harm, and regulatory frameworks that mandate standards. Research shows that the majority of AI systems documented as causing harm to people with disabilities face no consequences — systems remain operational despite documented negative outcomes.