Explainability
What does explainability cover in AI governance?
2 competencies are filed under it: How models work, at a governance depth, Explainability, transparency and contestability. Each has its own page saying what it means in practice.
The competencies filed under it
- How models work, at a governance depth
Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.
Technical Evaluation
- Explainability, transparency and contestability
Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.
Technical Evaluation
Roles that ask for it
- AI Evaluation Specialist2 of 2 competencies
- AI Model Validator2 of 2 competencies
- AI Product Manager, responsible product edition2 of 2 competencies
- AI Regulatory Counsel2 of 2 competencies
- Chief Technology Officer, AI engineering edition2 of 2 competencies
- AI Auditor1 of 2 competency
- AI Compliance Manager1 of 2 competency
- AI Governance Engineer1 of 2 competency
- AI Governance Manager1 of 2 competency
- AI Policy Analyst1 of 2 competency
- AI Privacy Engineer1 of 2 competency
- Data Governance Lead1 of 2 competency
- Ethical AI Specialist1 of 2 competency
- AI Security Architect1 of 2 competency
- Model Risk Manager1 of 2 competency
- Responsible AI Lead1 of 2 competency
- Chief AI Officer1 of 2 competency
- Chief Audit Executive, AI audit edition1 of 2 competency
- Chief Privacy Officer, AI privacy edition1 of 2 competency
Where it is taught and graded
28 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 2: AI Fundamentals (2)
- Module 4: Practical AI Workflow Design and Prompt Engineering (2)
- Module 5: Critical Thinking and Context Engineering (3)
- Module 10: AI Security Fundamentals (2)
- Module 12: Bonus: SMB AI Adoption Path (1)
- Module 1: Build Before You Govern (5)
- Module 4: Evaluation and Trust (1)
- Module 9: The Humans: Leading People Through AI Change (1)
- Module 10: Evidence Engineering (1)
- Module 4: Feeding the Machines (1)
- Module 5: Poison, Leaks, and the Adversary (1)
- Module 8: Lineage Under Audit (1)
- EU AI Act Implementation Expert3 topics
- Module 0: The EU AI Act Expert Role (2)
- Module 8: Post-Market Monitoring and Enforcement (1)
- Module 1: Foundations of AI for Lobbyists (1)
- Module 3: Business and Industry Representation (1)
- Module 23: Technical Credibility Deep Dive (1)
- Module 8: Governance and Responsible AI (1)
Questions
- What does explainability cover in AI governance?
- 2 competencies are filed under it: How models work, at a governance depth, Explainability, transparency and contestability. Each has its own page saying what it means in practice.
- Which roles ask for explainability?
- 19 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 explainability taught and graded?
- 28 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.