Assured and open
AI assurance, transparency and public scrutiny.
- Level
- Bitesize
- Learning time
- 1 hour 15 minutes
- Where
- AI and Governance
- Price
- £39
When you step up to a higher level, what you paid in the last 12 months for lower-level courses inside the bigger course comes off its price, in proportion to how much of each is inside it, whichever topic it's from. Courses at the same or a lower level don't give credit against each other. A Focus course or above always costs at least £15. Read the full terms
Certificate of Completion
Overview and Outcomes.
Overview
This module explores how boards and audit committees obtain real assurance on AI rather than reassurance. It applies the Three Lines Model, the Institute of Internal Auditors' AI Auditing Framework and the NIST AI Risk Management Framework, explains ISO/IEC 42001, the ATRS and the UK AI Playbook, and sets out proportionate assurance, an audit committee agenda informed by the 2026 Audit Wales Code of Audit Practice, and a six-step assurance plan. This module examines how organisations make AI visible to the people it affects, starting from the Committee on Standards in Public Life's 2020 finding that openness and accountability are under strain. It covers the Freedom of Information Act 2000, the Algorithmic Transparency Recording Standard, a transparency ladder, the Dutch childcare benefits scandal, scrutiny lines of enquiry, automated decisions under the Data (Use and Access) Act 2025 and Welsh routes to worker voice.
What you'll develop
In this Bitesize, you will develop the ability to:
- Distinguish assurance from reassurance, and describe the roles of the three lines, external bodies and the governing body in assuring AI.
- Outline what the IIA framework, the NIST AI RMF, ISO/IEC 42001, the ATRS and the AI Playbook each offer a board.
- Plan proportionate assurance for your organisation's AI, rating impact and opacity and following the six steps from Map to Follow up.
- Explain why transparency underpins public trust in AI, using the ATRS, the transparency ladder and the lessons of the Dutch childcare benefits scandal.
- Describe the safeguards for significant automated decisions under the Data (Use and Access) Act 2025, and when human involvement counts as meaningful.
The Modules.
1 hour 15 minutes of learning.
- 04Assurance: Three Lines, Audit and StandardsThis module explores how boards and audit committees obtain real assurance on AI rather than reassurance. It applies the Three Lines Model, the Institute of Internal Auditors' AI Auditing Framework and the NIST AI Risk Management Framework, explains ISO/IEC 42001, the ATRS and the UK AI Playbook, and sets out proportionate assurance, an audit committee agenda informed by the 2026 Audit Wales Code of Audit Practice, and a six-step assurance plan.39 min
- 05Transparency, Scrutiny and Public TrustThis module examines how organisations make AI visible to the people it affects, starting from the Committee on Standards in Public Life's 2020 finding that openness and accountability are under strain. It covers the Freedom of Information Act 2000, the Algorithmic Transparency Recording Standard, a transparency ladder, the Dutch childcare benefits scandal, scrutiny lines of enquiry, automated decisions under the Data (Use and Access) Act 2025 and Welsh routes to worker voice.39 min
Keep going.
Part of the AI and Governance topic, also sold whole as Minding the machine.
Go deeper, and pay only the difference
- You are hereBitesize, 1 hour 15 minutes, £39
- Next stepFocus, Board-ready on AI, 3 hours, £69. Already own the Bitesize? You pay £30.
- The whole topicExplore, Minding the machine, 6 hours, £129. Already own the Bitesize? You pay £90.
When you step up to a higher level, what you paid in the last 12 months for lower-level courses inside the bigger course comes off its price, in proportion to how much of each is inside it, whichever topic it's from. Courses at the same or a lower level don't give credit against each other. A Focus course or above always costs at least £15. Prices per person. Read the full terms
Also part of: Leading with data and digital, Digital with people in charge