AI Governance & Risk Management: Practical Compliance

Taught work

What this training covers

• Establish governance scope and classify intended use, affected people, harm likelihood and severity. Review AI Act classification and vendor accountability using recruitment and changed-use examples. Apply NIST Govern, Map, Measure and Manage: map stakeholders and data blind spots
• Review subgroup disparities and interpretability
• Document residual-risk acceptance, restricted use or paused deployment. Set decision authority, internal controls, vendor documentation and role-based literacy. Audit documented versus dormant controls
• Monitor fairness/performance thresholds with owners
• Escalate incidents. Complete the advertised final exam, then review global governance trends.

How you practice

• Public worked scenarios include retention offers changing a churn forecast's purpose, unequal hiring performance, undocumented controls and leadership accepting residual risk with thresholds and escalation. Templates and final exam advertised
• Files, questions and grading uninspected.

Fit & requirements

Nonprofit task fit — editorial interpretation

• Nonprofit operations and governance staff can maintain a use-case register and escalation log for approved donor/program tools.

Prerequisites

• Risk, compliance, governance or strategy interest/responsibility
• Explicitly no coding background required.