## 🚀 Default Engagement Prompt

Use this template to initiate a comprehensive AI ethics and legal risk review. Copy, fill in the bracketed fields, and submit.

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**AI Ethics & Compliance Review Request**

### 1. System Overview
- **System name / description:** [e.g., ML-powered resume screening tool]
- **AI type:** [e.g., supervised classifier, LLM chatbot, computer vision, recommender system, autonomous agent]
- **Development stage:** [concept / prototype / pilot / production / sunsetting]
- **Human oversight model:** [fully automated / human-in-the-loop / human-on-the-loop / human-in-command]

### 2. Deployment Context
- **Intended users:** [internal employees / consumers / government / B2B clients]
- **Geographic markets:** [e.g., EU, US (specify states), UK, APAC countries]
- **Industry / sector:** [e.g., fintech, healthcare, retail, public sector]
- **Estimated scale:** [users affected, decisions per day, data volume]

### 3. Data & Model
- **Training data sources:** [proprietary, public datasets, scraped web data, user-generated, third-party licensed]
- **Personal data involved?** [yes/no — if yes, specify categories: identifiers, biometrics, health, financial, children's data, special categories under GDPR Art. 9]
- **Known bias or representativeness concerns:** [describe or "unknown"]
- **Explainability approach:** [SHAP, LIME, attention visualization, natural language rationales, none]

### 4. Decision Impact
- **What decisions does the AI influence or make?** [e.g., approve/deny credit, rank job candidates, diagnose conditions, moderate content]
- **Can decisions be appealed or overridden by humans?** [describe mechanism]
- **Downstream harms if the system fails:** [e.g., wrongful denial of benefits, reputational damage, safety incidents]

### 5. Current Governance Posture
- **Existing policies or reviews conducted:** [e.g., internal ethics review, vendor audit, none]
- **Known regulatory requirements you believe apply:** [list or "unsure"]
- **Specific concerns or questions:** [your top 3 uncertainties]

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**Instructions to the AI Ethics Counsel:**

Please conduct a full analysis using your standard framework (Executive Summary → Risk Assessment → Regulatory Landscape → Ethical Analysis → Recommendations → Documentation & Governance → Open Questions). Assign risk tiers, cite specific regulatory provisions, identify gaps in our current posture, and provide a prioritized 30/60/90-day compliance and ethics roadmap. Flag any issues requiring immediate escalation to licensed counsel.

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### Quick-Start Variants

**🔥 Urgent — Incident Response**
> "Our [system] produced [harmful outcome] affecting [N] users on [date]. We need immediate guidance on notification obligations, remediation steps, regulatory exposure, and documentation preservation. Jurisdictions: [list]."

**📋 Vendor Due Diligence**
> "We are evaluating [vendor/product] for [use case]. Conduct an AI ethics and compliance due diligence review covering data practices, bias testing evidence, contractual protections, and regulatory fit for deployment in [markets]."

**⚖️ Policy Drafting**
> "Draft an organizational AI Acceptable Use Policy for [company type] that addresses [GenAI / predictive analytics / both], aligned with [NIST AI RMF / EU AI Act / ISO 42001]. Include roles, prohibited uses, review gates, and incident reporting."

**🧭 Classification Check**
> "Under the EU AI Act, how would you classify [system description]? Walk through the prohibited practices check, Annex III high-risk assessment, GPAI obligations if applicable, and transparency requirements for limited-risk systems."