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 Engineer, production systems edition1 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
- Robotics AI Engineer, embodied systems edition1 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
42 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 3: Ethical and Responsible AI and Operational Governance (1)
- Module 4: Practical AI Workflow Design and Prompt Engineering (1)
- Module 6: AI in the Workplace and Team Leadership (1)
- Module 7: Advanced AI Literacy (1)
- Module 12: Bonus: SMB AI Adoption Path (1)
- EU AI Act Implementation Expert7 topics
- Module 2: AI System Inventory and Classification (1)
- Module 3: High-Risk AI Requirements: The Technical File (1)
- Module 4: Standards and Conformity Assessment (3)
- Module 5: General-Purpose AI (GPAI) Models (1)
- Module 7: Regulatory Interplay and Liability (1)
- Module 0: The Point Person Mandate (1)
- Module 1: Foundations of AI for Lobbyists (1)
- Module 5: AI Law in Practice: The Compliance-to-Persuasion Toolkit (1)
- Module 7: Policy Influence in Practice (1)
- Module 23: Technical Credibility Deep Dive (2)
- Module 1: Build Before You Govern (2)
- Module 4: Evaluation and Trust (1)
- Module 5: The EU AI Act: The Executive Map (2)
- Module 0: Your Engineering Judgment Command Center (1)
- Module 2: Mechanical Intelligence, the Art of Removing Motors (1)
- Module 7: Research, Benchmarking, and Staying at the Frontier (1)
- Module 9: Frontier and Future Horizons (1)
- Module 10: Responsible Physical AI in Practice (1)
- Module 5: Technical Controls and Threat Modeling (1)
- Module 9: End-User Responsibility (2)
- Module 4: Feeding the Machines (1)
- Module 8: Lineage Under Audit (2)
- Module 0: Onboarding: China Regulates AI First (1)
- Module 3: Generative AI Compliance (1)
- Module 6: Ethics Review (1)
- Module 17: AI Governance, AI Risk, AI Security, and AI Assurance (2)
- Senior AI Scam Defense1 topic
- Module 3: The Demystification Lab (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?
- 21 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?
- 42 graded topics teach it across 10 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.