Directors must navigate AI requirements from legal mandates to customer preferences for effective governance.

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.

Understanding the implications of pre-trained models and their datasets is crucial for responsible AI governance.

Explore the critical role of data provenance in machine learning and AI, its impact on risk management and value creation, and why board members should care about this often overlooked aspect of data governance.

Management and boards need to evaluate legal risks and exposure regularly. Learn why tracking legal reserves is crucial for strategic decision-making and compliance, and how AI is revolutionizing this process.