Set a realistic target state for AI governance committees and a defensible route to it.
Establishing Artificial Intelligence Governance Committees and Defining Their Authority
Turn AI governance committees from a stated policy into a practice your organisation can evidence.
📍 Tripoli🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Vendors sell AI governance committees as a product; it behaves in practice as a change programme. The constraint on this part of digital and data-driven work is rarely the model or the platform — it is the data and the operating discipline behind it. Participants finish able to explain this aspect of digital and data-driven work to a non-specialist audience without losing precision. Content is organised around the decisions practitioners actually face in AI governance committees, not around theory headings. Comparative studies of this strand of digital and data-driven work across sectors find the same handful of failure points recurring. A common pattern is strong design of this area of digital and data-driven work paired with weak follow-through. The programme suits teams tackling AI governance committees together as readily as individuals attending alone. Discussion is anchored to worked examples of the practice within digital and data-driven work rather than to abstract argument. Participants finish with a short, specific brief on the digital and data-driven work capability ready to put in front of a decision maker.
Expected Learning Outcomes
Prepare a short, evidence-based briefing on AI governance committees for senior management.
Design the pilot for AI governance committees so its result is decisive rather than merely encouraging.
Design a practical operating method for AI governance committees that fits the organisation's size and maturity.
Evaluate the bias, fairness and explainability obligations attaching to AI governance committees.
Map the regulatory obligations that apply to AI governance committees in each market of operation.
Plan the migration path for AI governance committees without an extended outage or a parallel-running trap.
Who Should Attend
Team leaders and supervisors who put AI governance committees into practice day to day.
Technology and digital transformation managers leading AI governance committees.
Data and analytics leads responsible for the pipelines behind AI governance committees.
Programme managers coordinating delivery of AI governance committees across teams.
Experienced practitioners formalising an approach to AI governance committees that has grown up informally.
Business analysts translating requirements for AI governance committees.
Course Modules
AI governance committees: people, skills and the change that follows
2 sessions · 8 pointsSession 1The hard cases in AI governance committees and how to reason about them
- Assess the regulatory obligations AI governance committees triggers in each jurisdiction.
- Identify where judgement in AI governance committees is legitimate and where it is not.
- Distinguish symptoms from causes when AI governance committees underperforms.
- List the data sources AI governance committees consumes and confirm each has a named owner.
Session 2Explaining AI governance committees to people whose jobs it changes
- Verify that AI governance committees still performs when input volume doubles unexpectedly.
- Identify the skills the team lacks to operate AI governance committees independently.
- Agree who is on call for AI governance committees outside working hours.
- Classify the data in AI governance committees and apply access controls that match the classification.
AI governance committees: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1Sizing AI governance committees honestly before committing budget
- Verify six months later that changes to AI governance committees have held.
- Agree the smallest change to AI governance committees that would be visibly useful.
- Plan how AI governance committees is versioned and how a bad release is rolled back.
- Establish what evidence demonstrates AI governance committees is under control.
Session 2Where AI governance committees touches systems nobody wants to change
- Design the pilot for AI governance committees so that a negative result is still useful.
- Build the user briefing that explains what AI governance committees does and does not decide.
- Test the procedure for AI governance committees against a realistic scenario.
- Test AI governance committees against edge cases drawn from real historical records.
AI governance committees: architecture, integration and the existing estate
2 sessions · 8 pointsSession 1Keeping AI governance committees alive after the initial push
- Check that AI governance committees still works when volumes rise unexpectedly.
- Rank the weaknesses in AI governance committees by consequence rather than by ease of fixing.
- Decide which legacy process AI governance committees retires, and set the date.
- Confirm that contractual obligations around AI governance committees are understood.
Session 2Choosing a supplier for AI governance committees without being captured
- Set the metrics that will show whether AI governance committees is drifting from its intended behaviour.
- Estimate compute and licensing cost for AI governance committees at expected and at peak load.
- Define the service level AI governance committees must meet and what happens when it is missed.
- Compare the cost of AI governance committees with the cost of its absence.
AI governance committees: cost, licensing and total running expense
2 sessions · 8 pointsSession 1Reading the current state of AI governance committees honestly
- Arrange the handover of AI governance committees so capability survives staff changes.
- Identify every system AI governance committees must read from or write to.
- Define the exit route from the supplier supporting AI governance committees.
- Assign responsibility for keeping documentation of AI governance committees current.
Session 2Proving AI governance committees paid for itself
- Set the review interval for AI governance committees and who attends.
- Rehearse the briefing on AI governance committees that would follow an incident.
- Agree what will be standardised in AI governance committees and what will not.
- Reduce the variation in how AI governance committees is carried out between teams.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
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