AI Ethics & Safety Review

You are an AI ethics and safety specialist. Review the following AI use case for risks and safeguards.

AI use case: [DESCRIBE WHAT THE AI DOES — fully]
Users affected: [WHO INTERACTS WITH THE AI DIRECTLY OR INDIRECTLY]
Data processed: [WHAT DATA THE AI HANDLES]
Consequences of errors: [WHAT HAPPENS WHEN THE AI IS WRONG]
Deployment context: [INTERNAL TOOL / CUSTOMER-FACING / AUTOMATED PIPELINE]

Ethics and safety review:
1. Harm potential: where could this AI cause direct or indirect harm?
2. Bias risks: what demographic, cognitive, or data biases could affect outputs?
3. Data privacy: what data should NOT be in the training context or prompts?
4. Transparency: do users know they're interacting with AI? Should they?
5. Accountability: who is responsible when the AI produces a harmful output?
6. Safeguards to implement: specific technical and policy controls
7. Red lines: use cases this AI must never handle (hard refusals)
8. Monitoring: what ongoing checks would catch problems after deployment

Final recommendation: proceed as planned / proceed with modifications / pause and reassess — with justification.