Understanding the foundations of AI governance

~21% of the exam · 3 competencies

What AI is, why it is hard to govern, and how an organization sets expectations, roles and policies for trustworthy AI across the life cycle.

I.A

What AI is and why it needs governance

Definitions and types of AI; the risks and harms AI can cause; the characteristics that make AI systems hard to govern; and the responsible-AI principles that answer those characteristics.

Lessons are coming as they’re published.

I.B

Establishing and communicating organizational expectations

How an organization assigns roles and responsibilities for AI, builds cross-functional collaboration and awareness, and tailors governance to its own size, maturity, industry and risk tolerance.

Lessons are coming as they’re published.

I.C

Policies and procedures across the AI life cycle

Oversight and accountability at every life-cycle stage, updating existing policy frameworks for AI, and managing third-party and procurement risk.

Lessons are coming as they’re published.