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Graduate School USA

AI Governance & Oversight Course

via Graduate School USA

Overview

As artificial intelligence (AI) becomes mission-critical in government operations, robust AI governance is essential to ensure accountability, compliance, risk management, and public trust. This four-hour, advanced-level training provides government leaders and technical experts with the frameworks, tools, and best practices to design, implement, and sustain effective AI governance programs.

Participants will engage in case studies, policy analysis, and hands-on exercises focused on establishing governance structures, managing cross-functional risks, overseeing third-party solutions, and responding to evolving legal and ethical requirements. The course emphasizes actionable strategies for embedding AI governance into agency policies, procurement, and daily operations.

Syllabus

Foundations of AI Governance

  • Defining AI governance and its importance in government agencies
  • Core principles: accountability, transparency, risk management, compliance

Government Policy Landscape

  • NIST AI Risk Management Framework (AI RMF)
  • OMB, GAO, and EO guidance on AI governance
  • International standards and cross-border considerations

Designing AI Governance Structures

  • Roles and responsibilities (e.g., CDAO, Chief Data/AI Officers, program managers)
  • Establishing policies, charters, and oversight committees
  • Governance for agency-developed vs. third-party/vendor solutions

Lifecycle Oversight and Risk Management

  • Approaches for monitoring AI systems throughout their lifecycle

Procurement, Vendor Management, and Third-Party Risk

  • Integrating governance into procurement and contracting
  • Evaluating vendor compliance and risk posture
  • Data sharing, interoperability, and documentation standards

Legal, Ethical, and Societal Challenges

  • Navigating legal frameworks (privacy, civil rights, liability)

Maturity Models and Continuous Improvement

  • Assessing and advancing AI governance maturity
  • Tools for self-assessment and external audit

Action Planning

  • Steps to building or strengthening an AI governance program in your agency

Taught by

Bruce Gay, Steve Pesklo, Brian Simms, Clarissa J. Corbin, Natalya H. Bah, and Michiel Pruijssers

Reviews

4.9 rating at Graduate School USA based on 18 ratings

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