Frameworks enabling consistency, standardization, and responsible use are essential elements to AI's success, and the intersection of AI and data privacy is crucial to shed light on the state of AI governance in organizations and its overlap with privacy management.

This report examines how organizations can govern AI while adhering to responsible AI principles, including privacy, accountability, robustness, security, explainability, fairness, and human oversight.

Based on interviews with stakeholders across six industries in North America, Europe, and Asia, as well as data from facilitated workshops and interactive survey sessions, this report provides critical insights on the current state of responsible AI and privacy governance.

Read the report to stay informed on emerging best practices, regulatory updates, and practical guidance for implementing effective privacy programs in the era of AI.