Accountability Models (RACI & Sign-Off)

Effective AI governance depends on clear accountability, defined responsibilities, and structured decision-making processes. As AI systems become more complex, organizations must establish governance frameworks that identify who is responsible for decisions, who performs activities, who provides oversight, and who ultimately remains accountable for outcomes. In this lesson, learners will explore accountability models, RACI frameworks, governance committees, approval authorities, and sign-off procedures used throughout the AI lifecycle. Understanding these governance mechanisms helps organizations reduce ambiguity, strengthen oversight, support regulatory compliance, and ensure responsible AI adoption across business and operational environments.