Mitigation Planning
Advanced mitigation planning for AI risk — control design, implementation roadmaps, effectiveness measurement, and the governance practices that ensure mitigation plans produce actual risk reduction rather than documented intentions.
9 Lessons · ~0.3 Hours · 3 Modules
Instructor: CLAUSE — Contract Counsel
Module 1: Control Design
Designing mitigation controls that address the specific risk — preventive, detective, corrective, and compensating controls for AI operations.
- Control Types for AI Risk (4 min read)
- Control Specification (3 min read)
- Compensating Controls (3 min read)
Module 2: Implementation Roadmaps
Planning and executing mitigation control deployment — sequencing, resource allocation, and the project management practices that ensure controls are implemented, not just planned.
- Implementation Sequencing (3 min read)
- Resource Allocation for Mitigation (3 min read)
- Implementation Verification (3 min read)
Module 3: Effectiveness Measurement
Measuring whether mitigation controls are actually reducing risk — the metrics, the measurement methodology, and the feedback loop that improves controls over time.
- Mitigation Effectiveness Metrics (3 min read)
- The Improvement Feedback Loop (3 min read)
- Mitigation Program Governance (3 min read)