Pragmatic AI Governance
Instructor: Iman Saleh, PhD
This class is designed for AI Governance professionals to walk them through the journey of building an AI Governance program. The class uses the Governance Maturity Model described in the book "Pragmatic AI Governance" to provide a step-by-step methodology to building AI governance from the ground up, and scale it with the AI investment.
Course Structure:
- Session 1: AI and The Probabilistic Revolution
- Session 2: AI Risks and Safeguards
- Session 3: The Anatomy of an AI Governance Program
- Session 4: The AI Governance Maturity Model
- Session 5: Principles and Policies
- Session 6: Mastering Provenance: Data, Model, and Use Case
- Session 7: Enforcement
- Session 8: Auditing and Reporting + Incident Management
- Session 9: Use Cases Presentation and Discussion
Target Audience:
- AI governance teams and professionals building AI governance programs, including leaders, lawyers, policy writers, reviewers, program managers and engineers. You don't need a technical background in AI to attend.
Formats Available:
- 3-Day Live Virtual/In-Person: Intensive workshop with live instruction and hands-on group work.
- 8-Week Guided Cohort: Self-paced with pre-recorded videos, weekly assignments, and personalized feedback.
- On-Demand Access (Self-Study): Instant access to recorded sessions, slide decks, and project templates.
The RAI Fellow