Explore the critical elements of AI risk management from a board director's perspective. Learn how to establish context, assess risks, implement treatments, and maintain ongoing monitoring in the rapidly evolving landscape of AI technologies.

Strong governance practices drive better outcomes for tech companies through reduced risks and increased stakeholder trust.

External factors shape AI data usage, demanding strategic board oversight for risk management and compliance.

Explore the fundamental importance of high-quality data in AI systems, from training and tuning to augmentation. Understand the strategic implications for board oversight and decision-making across industries.

Explore how AI is revolutionizing key financial processes including embedded lease identification, stress testing, and revenue recognition. Understand the implications for board oversight and strategic decision-making.

Explore the implications of AI in revenue recognition processes for audit committee members. Learn about enhanced accuracy, internal control implications, and regulatory considerations to effectively oversee financial reporting in the age of AI.