Industrial Mastery Pathway
AI at Work: Governance and Risk
Tier 2
Operational Overview
Knowing that AI can go wrong is only the first step. The harder, more valuable skill is knowing what to actually do about it, before it is deployed, while it is running, and if it fails.
This course builds on the foundations you already have and gives you the practical governance tools that separate an organisation that merely uses AI from one that manages it responsibly.
Node Parameters
AccreditationIndustry Standard
Mastery LevelTier 2
Time Allocation45 - 60 Mins
Authorisation Cost
£25
Inclusion & Accessibility
Engineered for total accessibility. We provide full screen-reader compatibility and high-contrast visual modes.
Support: support@ikigaixr.com
System Configuration
Web BrowserChrome or Edge Stable
Audio HardwareInstructional Narration Enabled
Data LinkBroadband for Node Sync
Instructional Objectives
- Risk Management. Apply a structured approach to identifying and managing AI risk.
- Ownership and Escalation. Know who owns AI risk decisions and when to escalate.
- Vendor Scrutiny. Evaluate third-party AI tools before they are trusted with real decisions.
- Data Governance. Apply good practice to the data feeding and produced by AI systems.
- Transparency and Monitoring. Recognise drift and meet ongoing monitoring obligations.
- Incident Response. Know what to do when an AI system gets it wrong.