Course / Domain I
Foundations of AI governance
What AI is, where its risks come from, the principles every framework shares, and how an organization sets up people and policy to govern it.
16–20 scored items0/5 lessons done
Lesson 1.1 · 12 min
What AI is, and why it needs governing
- State the OECD definition of an AI system
- Distinguish the main types of AI and machine learning
- Explain why AI is treated as a socio-technical system
Lesson 1.2 · 8 min
The AI lifecycle
- Name the stages of the AI lifecycle in order
- Explain why governance must start before data collection
Lesson 1.3 · 12 min
AI risks and harms
- Classify harms to individuals, groups, organizations and ecosystems
- Identify AI-specific security threats
Lesson 1.4 · 9 min
Responsible and trustworthy AI principles
- List the principles common to major frameworks
- Recall NIST's seven trustworthy AI characteristics
Lesson 1.5 · 12 min
Building an AI governance program
- Design roles and committee structure for AI governance
- Identify the core policies and tools of a program
- Explain why programs should be risk-based and build on existing functions