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~21% of the exam · 3 competencies
Domain I lays the foundations everything else builds on, in three moves. First, the subject itself (competency I.A): what AI is and is not, the types you will meet, the risks and harms they can cause, the seven characteristics that make AI hard to govern, and the seven responsible-AI principles that answer them. This is the vocabulary of the whole exam. Second, the people (I.B): the stakeholders inside an organization, how they collaborate, the external value chain from developer to affected person, and how training and tailoring make a governance program fit its organization. Third, the ground it all lands on (I.C): the AI life cycle, the policies that need updating, the systems you buy rather than build, and what happens when something goes wrong. Definitions first, people second, operations third: that order is deliberate, and the later domains assume all three.
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 address those characteristics.
Lessons are coming as they’re published.
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.
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.