Real-World AI Governance Scenarios
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Case Study 1: AI Hiring Bias
Scenario:
An organization used AI to shortlist candidates based on historical hiring data.
Problem Identified:
Bias in training data, Lack of transparency, No auditability
What the Learner Did:
Identified bias risk, Suggested model testing, Recommended governance controls
Outcome:
Improved understanding of AI risk, Practical exposure to real-world issue
Case Study 2: SAP Access Control Risk
Scenario:
A company allowed excessive access in SAP systems.
Problem Identified:
Segregation of duties conflict, Risk of unauthorized financial access
What the Learner Did:
Identified SoD risk, Suggested access redesign
Outcome:
Better understanding of governance + compliance
Case Study 3: AI Loan Approval Risk
Scenario:
AI system used to approve loans automatically.
Problem Identified:
Lack of explainability, Potential discrimination
What the Learner Did:
Highlighted fairness risk, Suggested review controls
Outcome:
Awareness of regulatory impact
