Topic 1
AI governance fundamentals for government organizations
This session provides government professionals with a practical foundation in AI governance. Participants will explore key considerations, including oversight, accountability, risk management and responsible AI use. The discussion focuses on how governance frameworks help agencies balance innovation with transparency, compliance and public trust.
Learning objectives
By the end of this session, participants will be able to:
- Identify core AI governance principles relevant to government organizations
- Explain how governance frameworks support responsible AI adoption
- Recognize common AI risks and how governance helps mitigate them
Topic 2
AI governance in action: A case study with the Hawai’i Department of Health
This session applies AI governance concepts through a real‑world case study with the Hawai‘i Department of Health. Participants will examine how predictive analytics was used to support better decision making and improved public health outcomes, connecting governance principles to real‑world implementation.
Learning objectives
By the end of this session, participants will be able to:
- Apply AI governance concepts through a government case study
- Explain how predictive analytics can support improved health outcomes
- Connect governance principles to practical AI implementation challenges
