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Converging horizons: Towards an integrated AI governance and privacy framework
November 5, 2025 @ 2:00 pm – 3:00 pm EST
Description:
The rapid proliferation of artificial intelligence (AI) across industries presents unprecedented opportunities alongside complex ethical, legal, and operational challenges. Historically, organizations have managed AI-related risks through nascent AI governance frameworks, while data privacy has been addressed by established privacy operations like the International Association of Privacy Professionals’ (IAPP’s) Certified Information Privacy Manager (CIPM) certification. However, the intertwined nature of AI and data privacy — where AI systems often process vast amounts of personal data, and privacy breaches can severely impact AI trust and compliance — underscores the inefficiencies and potential gaps of siloed approaches.
Learning objectives:
- Improve regulatory compliance.
- Enhance public trust.
- Improve resource utilization by leveraging shared principles, tools, and expertise.
- Use best practices for streamlining risk management operations.
CPE credit(s): 1
Field of study: Information Technology
Instructional delivery method: Group Internet Based
Level: Basic
Prerequisite: None
Advanced preparation: None
