Design and implement comprehensive AI governance frameworks. Master the NIST AI RMF, ISO 42001, risk taxonomies, policy development, oversight structures, and impact assessments for responsible AI deployment.
By the end of this module, you will be able to:
Design AI governance frameworks aligned with NIST AI RMF, ISO 42001, and Singapore Model Framework
Categorize AI risks using comprehensive taxonomy covering technical, operational, legal, and systemic dimensions
Conduct AI risk assessments including identification, likelihood estimation, impact analysis, and treatment planning
Develop AI policies including acceptable use, procurement standards, and development guidelines
Establish AI oversight structures including board committees, ethics boards, and AI Centers of Excellence
Conduct AI impact assessments covering human rights, algorithmic, social, and environmental dimensions
Complete each part sequentially to build comprehensive governance expertise
Compare and implement leading AI governance frameworks including NIST AI RMF, ISO 42001, and Singapore Model Framework.
Understand comprehensive AI risk categories: technical, operational, legal, reputational, and systemic risks.
Apply structured risk assessment methods: identification, likelihood estimation, impact analysis, and treatment options.
Develop AI policies: acceptable use, procurement standards, development guidelines, and operational procedures.
Establish oversight mechanisms: board committees, ethics boards, AI Centers of Excellence, and defined roles.
Conduct comprehensive impact assessments: human rights, algorithmic, social, and environmental dimensions.