Module 07 · AI Governance
Module check
12 statements, one from each chapter of the module. Call each one myth or fact. Take it once before the module and again after it: the difference is what the module taught you. Your scores stay in this browser.
- AI governance is really just compliance with AI law. From What Is AI Governance?
- Responsible AI means AI that makes no mistakes. From Why Responsible AI Matters
- Transparency means publishing the model's source code. From AI Governance Principles
- An organization with an approved AI policy has AI governance. From AI Policy vs AI Governance
- If the vendor built the model, the vendor is accountable for how your organization uses it. From AI Roles, Ownership and Accountability
- A central AI governance team should approve every AI use case. From The AI Governance Operating Model
- The AI governance committee should approve every AI system. From AI Governance Committee and AI Governance Office
- An AI inventory is a list of the models and vendors the organization uses. From AI Inventory and Risk Classification
- AI governance is mainly an approval process. From AI Lifecycle Governance
- A strong benchmark score is enough to approve a system. From AI Evaluation and Approval Gates
- A clear, published AI policy is enough for an organization to show its AI is governed. From AI Policies, Standards, Monitoring and Audit
- Once an organization has a policy, a committee and an inventory, its AI governance can scale. From Module 07 Synthesis — Governing AI at Scale