Responsible AI Checklist for Managers
A practical manager checklist for ownership, data, human review, monitoring and incident handling around AI systems.
Name the owner
- Assign a named owner for each material AI use.
- Record purpose, affected users and the decision it influences.
- Set a date for review rather than approving a tool forever.
Bound the system
- Specify approved data sources and prohibited inputs.
- Limit permissions to what the task requires.
- Define which outputs are advice and which can trigger action.
Check people and impact
- Identify who may be disadvantaged by errors or bias.
- Give users a way to challenge consequential outcomes.
- Make human review meaningful rather than ceremonial.
Monitor and stop
- Track failures and complaints as well as success metrics.
- Reassess after supplier or model changes.
- Keep a practical kill switch or fallback process for material failures.
Evidence behind this checklist
- European Commission, AI Office · AI Literacy - Questions & Answers · 2025-11-19 · Primary source
- Information Commissioner’s Office · Guidance on AI and data protection · 2025-06-19 · Primary source
- UK Government · Code of Practice for the Cyber Security of AI · 2025-01-31 · Primary source