Training by theme
Governance
Usage policy, risk matrix, traceability, oversight of high-impact decisions: the course for those who govern AI across the organization.
Why this training
Documented evidence is your best defense.
An overly restrictive policy drives shadow AI; without a risk matrix, controls scatter; without a register, you cannot demonstrate diligence in an investigation. This course covers writing a policy that sticks, risk classification, traceability and mandatory human oversight.
The modules in this course
Writing an AI usage policy that will be followed
C05M01
Design a balanced, co-built and documented policy.
Define, structure and roll out a suitable internal usage policy to govern AI in your organization.
RegisterClassifying uses by risk level
C05M02
Build a risk matrix based on data, impact and autonomy.
Assess and categorize your AI projects with a proportionate risk matrix to target the controls required.
RegisterTracking and documenting: the evidence file
C05M03
Keep a compliance register and a verifiable audit trail.
Build and maintain a complete governance register to demonstrate your due diligence during an audit.
RegisterHigh-impact decisions
C05M04
Guarantee explainability, fairness and the right to human review.
Identify high-risk automated-decision cases and apply the obligations of human review and explainability.
RegisterThe regulatory framework: Law 25, AI Act, ISO 42001
C05M05
Place the three frameworks and their extraterritorial reach.
Structure the organization's compliance around the key requirements of Law 25, the EU AI Act and the ISO 42001 standard.
RegisterReady to equip your team?
Enroll your teams in our AI-literacy and governance training, from the common core to function-specific use cases.
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