# AI Ethics Policy > Creates AI usage policies for businesses with transparency commitments, bias mitigation, and disclosure guidelines. Use when establishing responsible AI practices. - Skill: `reaperinvest/ai-ethics-policy` (Agent Skill) - Install (CLI): `npx skillmds@latest add reaperinvest/ai-ethics-policy` - Raw SKILL.md: https://api.skillmd.com/api/skills/reaperinvest/ai-ethics-policy/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: reaperinvest (https://skillmd.com/u/reaperinvest) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/reaperinvest/ai-ethics-policy --- # AI Ethics Policy ## When to Use This Skill Use this skill when you need to: - Create an AI usage policy for your business or team - Define transparency and disclosure guidelines for AI-generated content - Establish quality standards and review processes for AI outputs - Build trust with customers through responsible AI practices **DO NOT** use this skill for technical AI safety research, legal compliance audits, or data privacy policies (consult a lawyer). This is for practical business AI ethics policies. --- ## Core Principle AN AI ETHICS POLICY IS A TRUST DOCUMENT — IT TELLS YOUR CUSTOMERS, TEAM, AND STAKEHOLDERS EXACTLY HOW YOU USE AI, WHAT YOU REVIEW, AND WHERE HUMANS REMAIN IN CONTROL. --- ## Phase 1: Brief ### Required Inputs | Input | What to Ask | Default | |-------|------------|---------| | **Business type** | "What does your business do?" | No default — must be provided | | **AI usage areas** | "Where do you use AI? Content, customer service, analysis, operations?" | No default — list all areas | | **Customer sensitivity** | "How sensitive is your audience to AI usage? Very, moderate, low?" | Moderate | | **Disclosure stance** | "Do you want to disclose AI usage publicly, internally only, or both?" | Both | | **Industry regulations** | "Are there industry-specific AI guidelines you need to follow?" | None specific | **GATE: Confirm the brief before drafting the policy.** --- ## Phase 2: Structure ### Policy Sections 1. **Purpose** — Why this policy exists 2. **Scope** — What it covers (tools, use cases, people) 3. **Approved Uses** — Where AI is used and how 4. **Prohibited Uses** — Where AI must not be used 5. **Human Oversight** — Review and approval requirements 6. **Disclosure Standards** — When and how to disclose AI usage 7. **Quality Standards** — Accuracy, bias, and output requirements 8. **Data Handling** — What data is shared with AI tools 9. **Review and Updates** — How the policy evolves **GATE: Confirm the structure before writing.** --- ## Phase 3: Write ### Purpose Statement "[Business Name] uses AI tools to enhance productivity, improve quality, and serve our customers better. This policy ensures we use AI responsibly, transparently, and with human oversight. AI assists our work — it does not replace our judgment, expertise, or accountability." ### Approved Uses Document each approved use case: ``` ## Approved AI Uses | Use Case | AI Tool | Human Review Required | Disclosure Required | |----------|---------|----------------------|---------------------| | Content drafting | Claude/ChatGPT | Yes — before publishing | Yes — per disclosure standard | | Email drafting | Claude/ChatGPT | Yes — before sending | No (internal communication) | | Data analysis | AI analytics tools | Yes — verify conclusions | Depends on context | | Image generation | DALL-E, Midjourney | Yes — before publishing | Yes — label as AI-generated | | Customer support | AI chatbot | Escalation path to human | Yes — disclose bot usage | | Research and summarization | Claude/ChatGPT | Yes — verify facts | No | ``` ### Prohibited Uses ``` ## AI Must NOT Be Used For - Making final decisions on hiring, firing, or compensation - Generating legal advice or contracts without attorney review - Creating content that impersonates a specific real person - Processing customer data through unapproved AI tools - Replacing human judgment on safety-critical decisions - Generating content on sensitive topics without expert review - Fabricating testimonials, reviews, or social proof ``` ### Disclosure Standards ``` ## When to Disclose AI Usage **Always disclose:** - Blog posts, articles, or marketing content substantially written by AI - AI-generated images used in marketing or products - Customer-facing chatbots or automated responses - AI-assisted analysis included in client deliverables **Disclosure format:** - Website footer or about page: "We use AI tools to assist with content creation. All AI-generated content is reviewed and approved by our team." - Per-piece disclosure: "This [article/image/analysis] was created with AI assistance and reviewed by [Name]." - Chatbot: "You are chatting with our AI assistant. A human team member is available if you need them." **No disclosure required:** - Internal notes and drafts - Research and brainstorming - Spell-checking and grammar tools - Calendar scheduling and administrative automation ``` ### Quality Standards ``` ## AI Output Quality Requirements 1. **Accuracy:** All facts, statistics, and claims must be verified by a human before publishing 2. **Originality:** AI output must be reviewed for plagiarism and substantially edited for voice 3. **Bias check:** Review outputs for gender, racial, cultural, or other biases before use 4. **Brand voice:** AI drafts must be edited to match brand tone and style 5. **No hallucinations:** Any specific claims, quotes, or data points must be fact-checked against primary sources ``` --- ## Phase 4: Polish ### 1. Data Handling Guidelines ``` ## Data and AI Tools **Do not input into AI tools:** - Customer personal data (names, emails, financial info) - Proprietary business data without approval - Passwords, API keys, or security credentials - Confidential client information **Approved for AI input:** - Publicly available information - Your own original content and ideas - Anonymized or aggregated data - Internal process documentation ``` ### 2. Policy Review Process - Review the policy quarterly - Update when new AI tools are adopted - Solicit feedback from team members on practical challenges - Monitor regulatory developments in your industry - Document any incidents and update prohibited uses accordingly ### 3. Quality Checklist ``` ## AI Ethics Policy Checklist - [ ] Purpose statement explains why the policy exists - [ ] All current AI use cases are documented with tools and review requirements - [ ] Prohibited uses are explicitly listed - [ ] Disclosure standards specify when, where, and how to disclose - [ ] Quality standards require human review and fact-checking - [ ] Data handling guidelines define what can and cannot be shared with AI tools - [ ] Policy is accessible to all team members - [ ] Review cadence is set (quarterly minimum) - [ ] Customer-facing disclosure language is ready to publish - [ ] Policy is practical and followable (not just aspirational) ``` --- ## Example **Business:** Marketing consultancy **Customer-facing disclosure:** "At [Agency], we use AI tools as part of our creative process. AI assists with research, drafting, and analysis — but every deliverable is strategized, reviewed, and refined by our human team. We believe in transparency: if you ever want to know how AI was involved in your project, just ask." **Internal policy excerpt:** "All client deliverables that include AI-generated content must be reviewed by a senior team member before delivery. The reviewer confirms: (1) facts are verified, (2) content matches the client's brand voice, (3) no AI hallucinations or fabricated data, and (4) disclosure requirements are met per the client agreement." --- ## Anti-Patterns - **Policy nobody reads** — if the policy is 20 pages of legalese, nobody will follow it. Keep it practical and under 3 pages. - **Blanket "we use AI" without specifics** — vague disclosure builds suspicion. Be specific about where and how AI is used. - **No prohibited uses** — without clear lines, someone will use AI inappropriately. Define the boundaries. - **Ignoring data privacy** — pasting customer data into AI tools without consent is a liability. Set clear data handling rules. - **Set and forget** — AI capabilities change rapidly. A policy written 6 months ago may not cover new tools or use cases. --- ## Recovery - **Team member violates the policy:** Treat it as a learning opportunity. Review the incident, update the policy if needed, and retrain. - **Customer asks if content is AI-generated:** Answer honestly. Transparency builds more trust than deflection. - **Industry issues new AI guidelines:** Update the policy immediately. Note the regulatory source and adjust approved/prohibited uses. - **Policy feels too restrictive:** Review whether restrictions are based on real risks or theoretical concerns. Loosen where the risk is low.