Build a concise delivery roadmap for responsible AI use policy that colleagues can follow without further explanation.
Designing Responsible Enterprise Artificial Intelligence Use Policies
A senior-level treatment of responsible AI use policy, focused on what changes outcomes.
📍 Istanbul🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Boards are asking for measurable returns from responsible AI use policy, not demonstrations. Technology choices around use policy are easy to reverse on paper and expensive to reverse in practice. Work is grounded in real cases drawn from the wider digital and data-driven work agenda, which each participant adapts to conditions in their own organisation. The content is relevant to those who own responsible AI use policy and to those who are held accountable for its results. The programme takes participants through this strand of digital and data-driven work end to end, from framing the problem to closing it out. Across sectors, teams that rehearse use policy outperform teams that only plan it. They gain the ability to sequence improvements to responsible AI use policy in an order their organisation can absorb. Ambition around use policy outruns capacity unless the sequencing is deliberate. The programme closes with an action plan for the digital and data-driven work capability that each participant writes for their own organisation.
Expected Learning Outcomes
Design the integration points between use policy and the systems already in production.
Assess whether responsible AI use policy should be built in-house, bought, or delivered through a partner.
Plan the migration path for use policy without an extended outage or a parallel-running trap.
Build a register of the risks attaching to responsible AI use policy and keep it current.
Build the internal capability for use policy rather than depending on external support indefinitely.
Set retention, lineage and deletion rules for the data flowing through responsible AI use policy.
Who Should Attend
Risk managers assessing the exposure created by responsible AI use policy.
Planning staff whose forecasts and budgets are affected by use policy.
Operations managers whose processes are changed by responsible AI use policy.
Product owners prioritising the roadmap for use policy.
Chief information officers accountable for the investment in responsible AI use policy.
Business analysts translating requirements for use policy.
Course Modules
Responsible AI use policy: vendor selection and avoiding lock-in
2 sessions · 8 pointsSession 1What breaks first when responsible AI use policy meets real volume
- Define the exit route from the supplier supporting responsible AI use policy.
- Agree the indicators that will show whether use policy is improving.
- Assess the regulatory obligations responsible AI use policy triggers in each jurisdiction.
- Build the user briefing that explains what use policy does and does not decide.
Session 2Proving use policy paid for itself
- Identify the data already collected that bears on responsible AI use policy.
- Set the review interval for use policy and who attends.
- Review whether responsible AI use policy is aligned with the objectives of the transformation programme.
- Remove steps in use policy that add effort without adding assurance.
Use policy: governance, ethics and explainability
2 sessions · 8 pointsSession 1Reading the current state of use policy honestly
- Prepare the summary of responsible AI use policy that senior management will read.
- Decide which legacy process use policy retires, and set the date.
- Confirm the retention and deletion rules applied to data inside responsible AI use policy.
- Set out how exceptions to use policy are requested and approved.
Session 2The paperwork for use policy that is actually needed
- Plan how responsible AI use policy is versioned and how a bad release is rolled back.
- Record the reasoning behind each architectural choice in use policy.
- Identify the skills the team lacks to operate responsible AI use policy independently.
- Compare the cost of use policy with the cost of its absence.
Use policy: measuring benefit and retiring what it replaces
2 sessions · 8 pointsSession 1Who owns use policy once the project team disbands
- Measure the current quality of the data feeding responsible AI use policy before assuming it is usable.
- Set the metrics that will show whether use policy is drifting from its intended behaviour.
- Establish the boundary of responsible AI use policy and record what sits outside it.
- Agree what will be standardised in use policy and what will not.
Session 2Making responsible AI use policy secure without making it unusable
- Confirm that reporting on responsible AI use policy reaches the people who can act.
- Estimate compute and licensing cost for use policy at expected and at peak load.
- Design the pilot for responsible AI use policy so that a negative result is still useful.
- Record the rationale for each significant choice made about use policy.
Use policy: architecture, integration and the existing estate
2 sessions · 8 pointsSession 1Moving use policy from approval to execution
- Verify that responsible AI use policy still performs when input volume doubles unexpectedly.
- Build the internal briefing that explains use policy to those affected.
- List the data sources responsible AI use policy consumes and confirm each has a named owner.
- Record what was learned when use policy did not go as planned.
Session 2Explaining use policy to people whose jobs it changes
- Name a single owner for each element of responsible AI use policy.
- Set out the decisions in use policy that require sign-off and by whom.
- Define the service level responsible AI use policy must meet and what happens when it is missed.
- Test use policy against edge cases drawn from real historical records.
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
Complete your registration
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