AI Governance, Compliance and Due Diligence
Program overview
Understanding the impact of AI on governance and leadership
Organizations are operating in a rapidly changing environment shaped by artificial intelligence. AI is transforming operations, human resources management, marketing and communications, research and development, manufacturing, finance and decision-making across sectors, reshaping competition, capabilities and strategy.
Board members and senior executives must understand what this shift means for governance, risk management, compliance and due diligence. While AI presents significant opportunities, it also introduces reputational, liability and operational risks, along with evolving expectations related to transparency, trust and accountability.
Program focus and approach
EDGE’s Executive Program in AI Governance, Compliance and Due Diligence provides a non-technical, executive-level understanding of these issues. Delivered over two half-days, it focuses on the responsibilities of boards and senior leaders, including legal, regulatory and risk considerations, reporting and best practices.
The program draws on globally recognized frameworks, including ISO/IEC 42001 and the NIST AI Risk Management Framework.
What to expect
- Clear understanding of how AI is changing responsibilities for boards, directors and senior leaders.
- Expert-led sessions with experienced instructors and facilitators.
- Peer-level participants with admission by application only.
Program delivery and customization
- Delivered as one or two-day sessions (two four-hour modules).
- Offered in person at your organization or at an offsite location (minimum group size required).
- Customizable to industry, sector and use case.
- Certificate of completion issued for eight hours of training by EDGE at Ontario Tech (may be eligible for professional development credit).
Organizational Readiness for Al: AI Governance Globally and Locally
- Understanding why AI is fundamentally different.
- Global and Canadian approaches to AI legislation, regulation and requirements.
- Sector-specific considerations across regulated and specialized industries (e.g. medical, financial, educational, law enforcement, unionized and licensed professionals).
- Evolving expectations for due diligence and best practices.
- Expectations are increasing from shareholders, insurers, regulators, customers and suppliers.
- Frameworks for AI governance, including ISO/IEC 42001 and the NIST AI Risk Management Framework.
Ensuring AI Success through Governance: Risk Management, Accountability and Oversight
- Expanding beyond technology risk to enterprise-wide AI risk assessment.
- Emergent risks, including behavioural, data and system-level challenges.
- AI across the supply chain, from internal systems to external vendors and products.
- Governance, oversight, monitoring and verification as a path forward.
Outcomes
- Understand how AI is reshaping organizational and governance responsibilities.
- Recognize and address the impact of AI on board-level and senior management responsibilities (legal, regulatory, risk management and due diligence activities).
- Gain awareness of global standards for AI governance and risk management.
- Begin organizational self-assessment and planning for AI readiness.
- Recognize the role of a governance framework in successful AI adoption.