Full course coming soon

Building Evidence Files for AI Governance and Compliance

7 chapters · 31 lessons

1. 1. Mapping Principles to Operational Controls

   4 lessons

   Learn how broad regulatory principles translate into specific organizational responsibilities and technical requirements.

2. 2. Designing Risk Registers and Model Cards

   4 lessons

   Create structured documentation that captures risk assessment, mitigation decisions, and model characteristics.

3. 3. Building Release Gates and Approval Workflows

   5 lessons

   Implement decision checkpoints that create auditable records of who approved what and why.

4. 4. User Transparency and Contestability Systems

   4 lessons

   Build the interfaces and processes that let users understand, challenge, and seek redress for AI decisions.

5. 5. Incident Response and Remediation Documentation

   5 lessons

   Create systems that capture what went wrong, how you responded, and what you changed.

6. 6. Vendor Due Diligence and Procurement Evidence

   4 lessons

   Evaluate third-party AI systems and prepare your own evidence for enterprise procurement reviews.

7. 7. Preparing for Regulatory Inquiries and Audits

   5 lessons

   Organize your evidence file to respond quickly and credibly when regulators or auditors ask questions.