Advanced engineering
Public sector
Available on request
AI Governance, Risk and Assurance for the Public Sector
Before an entity deploys AI to citizens, someone has to be able to answer for it. This is that training.
A governance framework proportionate to your risk, and a clear answer to the question of who is accountable when the system gets it wrong.
- Duration
- 5 days, 30 contact hours
- Cohort size
- 10 to 18 participants
- Delivery
- In-house, Online, Blended
- Languages
- Arabic, English
Who it is for
Government risk, compliance, legal, audit, procurement and digital policy teams.
What people leave able to do
- Build an AI governance framework proportionate to your entity's risk
- Assess an AI system before procurement and after deployment
- Apply data protection requirements to AI systems specifically
- Identify bias and fairness risks in citizen-facing services
- Define accountability, who answers when an AI system gets it wrong
Modules
- 01 Why AI governance differs from IT governance
- 02 The regulatory landscape and where it's heading
- 03 Risk classification for AI use cases
- 04 Data protection applied to AI systems
- 05 Bias, fairness and disparate impact
- 06 Transparency and explainability obligations
- 07 Procurement, what to demand from vendors
- 08 Testing and assurance before deployment
- 09 Ongoing monitoring and audit
- 10 Incident and complaint handling
- 11 Accountability and human oversight
- 12 Drafting your entity's AI policy
Prerequisites
None technical. A policy or governance background is assumed.
Start with a short call
Fifteen minutes to understand what your team does and what you want to change. If training is not the right answer, I will say so.