This system supports [role] to [task/decision] using [inputs]. It must not be used for [prohibited use or decision].
Responsible AI tool
Responsible AI delivery evidence pack
Responsible AI becomes operational when a team can show what the system is for, who owns it, how it is evaluated and what happens when it is uncertain or wrong.
When to use this
Use this to prepare the evidence a product, delivery or governance team needs before a controlled AI release or pilot. Make the pack proportionate to the use case and impact.
- 01
Purpose and prohibited use
State the intended purpose, users, people affected, decision supported and explicit limits. A clear limit is necessary for meaningful evaluation and accountability.
- 02
Inputs and data decisions
Record data sources, permissions, quality assumptions, retention, access, supplier settings and known gaps. Link the record to project-specific privacy and security review where applicable.
- 03
Human authority and escalation
Show when a person reviews, overrides or stops the workflow; what context they receive; and how a concern, incident or harmful output reaches an accountable owner.
- 04
Evaluation plan
Choose the relevant tests for the purpose: relevance, accuracy, robustness, safety, latency, cost, user experience, fairness or operational effect. Include difficult, uncertain and failure cases.
- 05
Release and change record
Record the model, prompt, configuration, integration, version, limitations, acceptance criteria and approval for the release. Keep later changes traceable to their reason and evidence.
- 06
Monitoring and action
Define what will be observed, who reviews it, how often, and the actions available: investigate, adjust, pause, revert, retrain or retire. Monitoring without an owner is not an operating control.
Working prompts to adapt
[Role] reviews [condition/output] and can [override/stop/escalate]. The evidence available to them is [context].
Version [identifier] was evaluated against [criteria/cases], with known limitations [limits]. [Owner] approved/rejected the next release decision on [date].