Review questions
Integrated summary: AI Governance Foundations
AI governance begins with the system purpose, decision boundary and affected people, followed by clear human responsibility. Probabilistic output requires measurement of error across actual use groups. The team records each claim and its evidence and distinguishes model capability from authorization for a particular use. Data sources, constraints and rights are reviewed before operation. The owner tests the decision point where harm changes and defines when human intervention or path shutdown is required. The unit output is a decision record connecting purpose, risk, owner, evidence and escalation limit, rather than a general statement of governance principles. The unit also tests effective appeal access with a sound denominator and independent sample, closing governance findings only after repair evidence.
Review questions
Test your understanding with these questions. Marking and saved results are available with a free account.
Create a free account to mark your answers and save your progress.