Understanding AI Accountability Policy

AI accountability policy is defined as an ecosystem of policies, incentives, and capabilities designed to ensure that companies face consequences for the risks and harms associated with their AI systems. Key components of this ecosystem include market incentives, regulation, and liability mechanisms that hold entities accountable for their AI's impact. Effective evaluations, audits, and transparency through disclosures are emphasized as necessary for greater accountability. The report aims to clarify that accountability transcends mere ethical considerations, focusing instead on the tangible implications of AI use in societal contexts such as employment discrimination.