AI Risk Management

AI Risk Management
AI Risk Management

Course Description

This micro-course equips teams to recognise, assess, and respond to AI risks across everyday workflows and products. You’ll learn a repeatable approach to risk identification and classification, run AI Risk Impact Assessments (AIRIA), and translate policy into practical guardrails and controls. The course ends with incident response and harm-mitigation techniques that satisfy stakeholders and align with emerging regulation.

Who Should Take This Course

Ideal for managers, team leads, product owners, risk & compliance professionals, data/IT practitioners, HR, operations, and legal—anyone responsible for safe, compliant, and effective AI use in their organisation. Suitable for both technical and non-technical roles.

Prerequisites

No prior experience needed. Helpful: basic familiarity with your organisation’s processes and current or planned AI tool use.

What You Will Learn

  • How to surface and classify AI risks by context, data, model, user, and impact
  • How to run an AI Risk Impact Assessment (AIRIA) and document mitigations and residual risk
  • How to operationalise policy with pragmatic guardrails and controls (access, prompts, reviews, logging, monitoring)
  • How to design incident triggers, escalation paths, and comms templates for AI-related issues
  • How to build a lightweight risk register and control checklist tailored to your organisation

Course Content

AIW-0204-GVE-02: AI Risk Management
AIW-0204-GVE-03: Risk Identification and Classification
AIW-0204-GVE-04: AI Risk Impact Assessments (AIRIA)
AIW-0204-GVE-05: Operationalising Guardrails and Controls
AIW-0204-GVE-06: Incident Response and Harm Mitigation
AIW-0204-GVE-07: Conclusion
Includes
7 Lessons
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