WS4: Downstream Decision Monitoring — Historical Outputs Decisions made by the system during its operational lifetime may still affect individuals after decommission. A credit scoring system withdrawn three years ago may have produced assessments still influencing access to financial services. A recruitment screening system may have contributed to hiring decisions whose effects persist in career trajectories. A medical diagnostic aid may have influenced treatment plans still being followed. The AI Governance Lead assesses whether historical outputs continue to affect individuals. Where they do, a post-decommission monitoring plan specifies the data sources for tracking downstream effects, the metrics to monitor, the monitoring duration (which may be shorter than the ten-year retention period, depending on how long outputs remain consequential), the responsible person, and the escalation pathway if adverse outcomes are detected. This monitoring need not replicate the full PMM programme. It focuses on the specific risk dimensions (fairness, accuracy of consequential decisions) that remain relevant. Monitoring outputs are added to the archived evidence pack. Key outputs

• Assessment of continuing impact from historical outputs
• Post-decommission monitoring plan where impacts persist
• Focused on fairness and accuracy of consequential decisions
• Monitoring outputs archived as evidence