Week 14: Trustworthy AI and Responsible AI in Practice
Dates: Apr 12-16 · Reading: Handout 12: Trustworthy AI and Responsible AI
Learning Objectives
- Explain trustworthy AI frameworks: transparency, explainability, robustness, accountability
- Describe how organizations build and deploy responsible AI
- Apply incident response and ethical reasoning to AI system failures
- Connect governance, transparency, and business decision-making
Monday Session
Trustworthy AI frameworks: transparency, explainability, robustness, and accountability. Building AI systems leaders and regulators can trust. Case studies of responsible AI.
Wednesday Session
In-class tabletop incident response exercise using CISA Tabletop Exercise Packages (ungraded). Debrief: how AI and human judgment work together in crisis response.
Lab
Lab 12: Tabletop Incident Response Exercise. Work through a simulated cyber incident involving AI/ML systems using CISA’s free scenarios, make decisions under pressure, and debrief.
Quiz / This Week
Quiz 11. Trustworthy AI; responsible AI in practice.