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Foundation · Self-paced learning

AI Oversight for Boards and Executives

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An AI report claims high usage and a successful rollout. A further analysis reveals repeated attempts after failures and no time saving in an important business area. What should your board or executive team ask next? Develop a question guide that you can use for later AI reports.

Formulate questions about actual benefit, resources and risk. For each, identify the evidence needed and a follow-up for an unclear answer. Revise your question guide when outcomes improve but costs rise. Work with the board case or an approved report from your organisation.

Reuse your completed guide for future AI reports. Oversight and executive responsibilities remain distinct; the course does not replace legal assessment of their duties.

What you will work on

  • Identify strategic information gaps in an AI report
  • Formulate three review questions that specify the information and evidence required
  • Apply three questions to a conflicting progress report

Who it is for

  • Board and supervisory body members
  • Senior executives
  • Board and executive office professionals

Topics

  • Business contribution of AI programmes
  • Investment and resource questions
  • Risk, data and control accountability
  • Report quality and evidence
  • Review agenda and follow-up requests

Your result

Your question guide records the board remit, required evidence, follow-up questions and review dates. Use it when reviewing the next AI report.

Prerequisites

Experience in management, oversight or board support. No technical AI knowledge is required. Access to an approved AI report from your organisation is helpful; a substitute report is planned for participants without one.

Format and approach

Planned: 3–4 hours of self-study, with report analysis and self-checks on your own draft.

Planned learning time: 3–4 hours

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Advanced · Self-paced learning

Accountable AI-Assisted Decision-Making

Review an AI-supported analysis before it informs a management decision. Check its claims against source data, examine assumptions and counterarguments, and prepare your own recommendation with outstanding questions.

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