Design the integration points between AI ethics and regulatory compliance and the systems already in production.
Artificial Intelligence Ethics and Regulatory Compliance
Turn AI ethics and regulatory compliance from a stated policy into a practice your organisation can evidence.
📍 Cairo🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Most organisations now hold more data about AI ethics and regulatory compliance than they can actually act on. Vendors sell regulatory compliance as a product; it behaves in practice as a change programme. The level assumes working familiarity with the transformation programme but no prior formal training in this strand of digital and data-driven work. They leave able to brief senior management on AI ethics and regulatory compliance in terms that support a decision. This programme builds this area of digital and data-driven work from first principles, without padding and without omitting what matters. What blocks progress on regulatory compliance is usually unclear ownership rather than unclear intent. Field experience suggests that the barrier to better AI ethics and regulatory compliance is rarely technical. The teaching approach is deliberately practical: participants build a delivery roadmap for regulatory compliance as they go. The course ends by identifying what the participant will stop doing to make this aspect of digital and data-driven work sustainable.
Expected Learning Outcomes
Agree the retirement plan for the legacy process regulatory compliance replaces.
Reduce avoidable variation in how AI ethics and regulatory compliance is carried out across teams.
Assess whether regulatory compliance should be built in-house, bought, or delivered through a partner.
Estimate what AI ethics and regulatory compliance costs to run properly, and what is lost when it is not.
Anticipate the objections that regulatory compliance will attract internally and answer them in advance.
Define escalation and fallback for AI ethics and regulatory compliance when the automated path fails.
Who Should Attend
Programme managers coordinating delivery of AI ethics and regulatory compliance across teams.
Public sector digital leads applying regulatory compliance under procurement and privacy rules.
Compliance and governance staff whose remit includes AI ethics and regulatory compliance.
Risk and compliance staff assessing the controls around regulatory compliance.
Technology and digital transformation managers leading AI ethics and regulatory compliance.
Operations staff who encounter the consequences of regulatory compliance directly.
Course Modules
AI ethics and regulatory compliance: people, skills and the change that follows
2 sessions · 8 pointsSession 1Escalation and decision rights in AI ethics and regulatory compliance
- Remove steps in AI ethics and regulatory compliance that add effort without adding assurance.
- Agree who is on call for regulatory compliance outside working hours.
- Check that AI ethics and regulatory compliance still works when volumes rise unexpectedly.
- Define the trigger that would require regulatory compliance to be redesigned.
Session 2Getting other functions to support regulatory compliance
- Plan how AI ethics and regulatory compliance is versioned and how a bad release is rolled back.
- Identify every system regulatory compliance must read from or write to.
- Measure the current quality of the data feeding AI ethics and regulatory compliance before assuming it is usable.
- Set escalation thresholds for regulatory compliance that work out of hours.
Regulatory compliance: measuring benefit and retiring what it replaces
2 sessions · 8 pointsSession 1Choosing a supplier for regulatory compliance without being captured
- Build the internal briefing that explains AI ethics and regulatory compliance to those affected.
- Test regulatory compliance against edge cases drawn from real historical records.
- Set out the decisions in AI ethics and regulatory compliance that require sign-off and by whom.
- Define the exit route from the supplier supporting regulatory compliance.
Session 2Explaining regulatory compliance to people whose jobs it changes
- Record the reasoning behind each architectural choice in AI ethics and regulatory compliance.
- List the data sources regulatory compliance consumes and confirm each has a named owner.
- Write down the assumptions underpinning the approach to AI ethics and regulatory compliance.
- Check that records of regulatory compliance answer the questions likely to be asked.
Regulatory compliance: governance, ethics and explainability
2 sessions · 8 pointsSession 1Making regulatory compliance secure without making it unusable
- Assign responsibility for keeping documentation of AI ethics and regulatory compliance current.
- Compare the cost of regulatory compliance with the cost of its absence.
- Classify the data in AI ethics and regulatory compliance and apply access controls that match the classification.
- Estimate compute and licensing cost for regulatory compliance at expected and at peak load.
Session 2Who owns AI ethics and regulatory compliance once the project team disbands
- Rehearse the briefing on AI ethics and regulatory compliance that would follow an incident.
- Identify the skills the team lacks to operate regulatory compliance independently.
- Set the metrics that will show whether AI ethics and regulatory compliance is drifting from its intended behaviour.
- Verify that regulatory compliance still performs when input volume doubles unexpectedly.
Regulatory compliance: security, privacy and regulatory obligation
2 sessions · 8 pointsSession 1What has to be agreed before work on regulatory compliance starts
- Design the pilot for AI ethics and regulatory compliance so that a negative result is still useful.
- Agree what will be standardised in regulatory compliance and what will not.
- Reduce the variation in how AI ethics and regulatory compliance is carried out between teams.
- Prepare the summary of regulatory compliance that senior management will read.
Session 2The pilot that actually settles the argument about regulatory compliance
- Confirm that contractual obligations around AI ethics and regulatory compliance are understood.
- Specify the fallback path when regulatory compliance is unavailable.
- Decide which legacy process AI ethics and regulatory compliance retires, and set the date.
- Test the procedure for regulatory compliance against a realistic scenario.
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
We will contact you within one business day to confirm.