Checklist

AI Prototyping & Safety Checklist

Interactive checklist to ensure safe, ethical, and compliant rapid AI prototyping with saved responses, evidence links, and action items for rollback and monitoring plans.

Interactive Tool

AI Prototyping & Safety Checklist

Use this checklist before launching or exposing an AI prototype externally. It helps teams confirm privacy, safety, monitoring and communication guardrails are in place. Save your responses to create an audit trail, track remediation items, and support informed go/no-go decisions.

Short name or identifier for this prototype.
Date of this checklist (YYYY-MM-DD).
Person responsible for the prototype and this checklist.
Have you verified only necessary data is used and appropriate consent or permissions are in place?
Describe any data-minimization exceptions, retention rationale, or compensating controls.
Are protections such as de-identification, access controls, and encryption applied where needed?
Describe safeguards (encryption, access control, pseudonymization, purpose-limiting, etc.).
Have you run tests for bias, harmful outputs, hallucination modes, or other safety failures relevant to this use case?
Team's current assessment of residual risk if prototype were exposed externally.
1.0 10.0
Is there a plan for live logs, alerting, and a tested rollback or shut-off mechanism?
Briefly summarize how you'll monitor runtime behavior and what triggers rollback.
Have legal, privacy, product, and relevant operational stakeholders reviewed and signed off?
List stakeholders who signed off or were notified (names, roles).
Has the prototype been approved for testing with external users or public exposure?
List tasks required before external exposure, owners, and target dates.
Links to test results, datasets, design docs, model versions, or screenshots.
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