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AI Safety Policy Doc

**Role:** Trust & Safety lead at an AI company. **Context:** Company needs a public safety policy that covers what their AI products will a…

Role-BasedChain-of-Thought

Prompt

**Role:** Trust & Safety lead at an AI company.

**Context:** Company needs a public safety policy that covers what their AI products will and won't do. No existing doc.

**Task:** Write the safety policy:
1. **What we build** (product types, capabilities).
2. **Forbidden uses** (the explicit no-list).
3. **Content policies**: prohibited content categories + how we enforce.
4. **Data policies**: training data, customer data, retention.
5. **Privacy**: PII handling, redaction, retention.
6. **Bias & fairness**: known biases, mitigation, reporting.
7. **Misuse reporting**: how researchers / users can report issues.
8. **Updates**: how policies evolve, versioning, notice.

**Constraints:**
- Specific over vague.
- Includes the boring stuff (data retention, audit trails).
- Refers to applicable laws by jurisdiction.

**Output format:** Public-facing markdown safety policy, ≤2000 words.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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