Transparency
What does transparency cover in AI governance?
3 competencies are filed under it: Responsible and disclosed use of AI at work, Explainability, transparency and contestability, Content provenance and authenticity. Each has its own page saying what it means in practice.
The competencies filed under it
- Responsible and disclosed use of AI at work
Applies acceptable-use rules, discloses AI assistance where it matters, and keeps confidential material out of unapproved tools.
AI Literacy
- 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
- Content provenance and authenticity
Reads and applies content provenance infrastructure: C2PA content credentials, watermarking, machine readable AI labels, and the transparency duties that now require them.
Public Protection
Roles that ask for it
- Ethical AI Specialist2 of 3 competencies
- AI Literacy Lead1 of 3 competency
- AI Adoption and Enablement Lead1 of 3 competency
- AI Compliance Manager1 of 3 competency
- AI Evaluation Specialist1 of 3 competency
- AI Model Validator1 of 3 competency
- AI Product Manager, responsible product edition1 of 3 competency
- AI Regulatory Counsel1 of 3 competency
- Responsible AI Lead1 of 3 competency
- Chief Privacy Officer, AI privacy edition1 of 3 competency
- Chief Technology Officer, AI engineering edition1 of 3 competency
Where it is taught and graded
50 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 2: AI Fundamentals (1)
- Module 3: Ethical and Responsible AI and Operational Governance (3)
- Module 5: Critical Thinking and Context Engineering (1)
- Module 6: AI in the Workplace and Team Leadership (6)
- Module 9: Agentic AI and Workforce Integration (1)
- Module 10: AI Security Fundamentals (1)
- Module 12: Bonus: SMB AI Adoption Path (1)
- Module 3: Generative AI Compliance (1)
- Module 4: AI Content Labeling (6)
- Module 6: Ethics Review (1)
- Module 7: Sector Rules: Finance to Autonomous Vehicles (1)
- EU AI Act Implementation Expert9 topics
- Module 0: The EU AI Act Expert Role (1)
- Module 2: AI System Inventory and Classification (1)
- Module 3: High-Risk AI Requirements: The Technical File (1)
- Module 4: Standards and Conformity Assessment (4)
- Module 5: General-Purpose AI (GPAI) Models (1)
- Module 7: Regulatory Interplay and Liability (1)
- Module 1: Foundations of AI for Lobbyists (1)
- Module 2: AI for Lobbying Productivity (1)
- Module 5: AI Law in Practice: The Compliance-to-Persuasion Toolkit (1)
- Module 20: The Long Game: Narrative Infrastructure (1)
- Module 23: Technical Credibility Deep Dive (2)
- Module 4: Evaluation and Trust (1)
- Module 5: The EU AI Act: The Executive Map (3)
- Module 12: Staying Current: The Frontier Discipline (1)
- Module 8: Lineage Under Audit (3)
- Module 9: End-User Responsibility (2)
- Module 17: AI Governance, AI Risk, AI Security, and AI Assurance (1)
- Senior AI Scam Defense1 topic
- Module 3: The Demystification Lab (1)
Questions
- What does transparency cover in AI governance?
- 3 competencies are filed under it: Responsible and disclosed use of AI at work, Explainability, transparency and contestability, Content provenance and authenticity. Each has its own page saying what it means in practice.
- Which roles ask for transparency?
- 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 transparency taught and graded?
- 50 graded topics teach it across 9 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.