AI Compliance & Regulatory Risk Management

“AI Compliance & Regulatory Risk Management” is an advanced, multidimensional program designed to demystify the rapidly evolving landscape of AI laws, frameworks, and compliance obligations. Participants will explore emerging regulations such as the EU AI Act, OECD AI Principles, NIST AI RMF, and sector-specific guidelines (e.g., healthcare, finance, education).

The program emphasizes how to assess and mitigate regulatory risks associated with bias, transparency, data privacy, accountability, explainability, and algorithmic harm. Through real-world case studies and tools like AI audits, impact assessments, and compliance lifecycle checklists, leaders will learn how to establish robust AI governance systems.

To train professionals and organizations in designing, deploying, and managing AI systems that are legally compliant, ethically aligned, and resilient to regulatory scrutiny in both national and international contexts.

• Create legally and ethically sound AI systems through structured compliance
• Promote fairness, transparency, and accountability across AI lifecycle
• Prepare participants for upcoming laws (e.g., EU AI Act, US Executive Order on AI)
• Enable organizations to build defensible, audit-ready AI pipelines
• Balance innovation with public interest, legal obligations, and brand trust

• Corporate compliance officers and legal teams
• AI/ML engineers and product owners
• Risk and ethics officers in tech organizations
• Legal professionals in data privacy and emerging tech law
• Policy makers, regulators, and NGO analysts in AI governance

• Interpret and apply global AI regulatory frameworks to enterprise projects
• Conduct AI risk assessments, impact analysis, and third-party compliance reviews
• Build internal governance policies for responsible AI development and use
• Document, report, and defend AI systems in audits, litigation, and public scrutiny
• Receive professional certification in AI Regulatory Risk & Compliance Management