Demonstrable Accountability: From Data Governance to AI Governance

As artificial intelligence rapidly transforms healthcare, companies and institutions must move beyond traditional privacy and data management programs toward demonstrable AI governance. This session will explore how companies can evolve existing privacy, security and data governance frameworks into mature AI governance models, while reinforcing accountability and transparency. Panelists will discuss how to embed AI risk management into daily operations, especially where AI influences decisions involving personal health information. Participants will gain insight into aligning privacy-by-design principles with AI governance, meeting regulatory expectations under PHIPA, and building trust with patients and stakeholders. Real-world examples will illustrate practical approaches to integrating AI oversight within privacy and security programs without creating unnecessary complexity.

What you will learn:

• How to extend existing privacy and data governance frameworks into effective AI governance programs.
• Practical steps to identify and manage AI risk in health data environments.
• How to demonstrate accountability and transparency in AI-assisted decision making involving personal health information.