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Graduate School USA

AI Security & Governance for Government Course

via Graduate School USA

Overview

Federal agencies are putting AI into service faster than the governance and security practices meant to hold it in check. This intermediate course equips federal staff and the organizations supporting them to build an agency AI governance and security program rooted in federal AI policy and the NIST AI Risk Management Framework.

Participants work through AI system inventories and risk classification, data governance and privacy, securing the AI development and acquisition lifecycle, the threats facing machine learning and generative AI, and the testing, oversight, monitoring, and accountability structures that keep AI trustworthy. A capstone draws it together into a working government AI governance and security plan.

Syllabus

  • Find your way through federal AI policy, roles, and governance structures; Put the NIST AI Risk Management Framework to work (Govern, Map, Measure, Manage)
  • Build AI system inventories and sort AI use cases by risk
  • Bring data governance, privacy, and information-protection practices to bear on AI
  • Secure the AI development and acquisition lifecycle
  • Recognize the threats facing machine learning and generative AI systems
  • Establish testing, evaluation, validation, and human oversight
  • Manage third-party AI, supply-chain risk, and federal procurement
  • Run continuous monitoring, incident response, and accountability for AI

Taught by

Wes Bryan and Chuck Moore

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