AI governance refers to the policies, processes, standards, and oversight mechanisms that organizations and governments use to guide the responsible development and use of AI systems.
AI governance addresses questions such as: Who is accountable when an AI system causes harm? How should AI systems be audited? What uses of AI should be restricted or prohibited? How should affected people be informed and protected?
AI governance frameworks vary by organization, sector, and jurisdiction. No single global standard applies everywhere. Organizations should understand the requirements that apply to their specific context.