Model validation
What does model validation cover in AI governance?
2 competencies are filed under it: Model risk management and independent challenge, AI evaluation and testing design. Each has its own page saying what it means in practice.
The competencies filed under it
- Model risk management and independent challenge
Classifies models by tier, sets validation requirements, challenges data, methodology and performance evidence, and reports aggregate exposure.
Risk and Assurance
- AI evaluation and testing design
Designs tests for factuality, robustness, fairness, safety and abuse resistance with rubrics, baselines and thresholds, and says what a score misses.
Technical Evaluation
Roles that ask for it
- AI Model Validator2 of 2 competencies
- Model Risk Manager2 of 2 competencies
- AI Evaluation Specialist1 of 2 competency
- AI Governance Engineer1 of 2 competency
- AI Product Manager, responsible product edition1 of 2 competency
- Ethical AI Specialist1 of 2 competency
- AI Security Architect1 of 2 competency
- Chief Audit Executive, AI audit edition1 of 2 competency
- Chief Compliance Officer, AI compliance edition1 of 2 competency
- Chief Risk Officer, AI risk edition1 of 2 competency
- Chief Technology Officer, AI engineering edition1 of 2 competency
Where it is taught and graded
25 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 2: Capability and Autonomy (2)
- Module 5: Technical Controls and Threat Modeling (2)
- Module 6: Testing and Red-Teaming (3)
- Module 7: Rollout, Monitoring, and Incident Response (1)
- Module 4: Practical AI Workflow Design and Prompt Engineering (1)
- Module 6: AI in the Workplace and Team Leadership (2)
- Module 8: Assessment and Continuous Learning (1)
- Module 13: Bonus: AI for Educators (1)
- Module 1: Build Before You Govern (1)
- Module 4: Evaluation and Trust (3)
- Module 7: Technology, Platforms and Vendors (1)
- Module 9: Risk, Resilience and Frontier AI (1)
- Module 13: Measure, Sustain and Evolve (1)
- EU AI Act Implementation Expert3 topics
- Module 2: AI System Inventory and Classification (1)
- Module 3: High-Risk AI Requirements: The Technical File (2)
- Module 13: Legal Frameworks and Liability Navigation (1)
- Module 23: Technical Credibility Deep Dive (1)
Questions
- What does model validation cover in AI governance?
- 2 competencies are filed under it: Model risk management and independent challenge, AI evaluation and testing design. Each has its own page saying what it means in practice.
- Which roles ask for model validation?
- 11 roles on the map name at least one of its competencies, from analyst seats to executive ones. Each role page lists the depth expected.
- Where is model validation taught and graded?
- 25 graded topics teach it across 6 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.