AI Governance Framework Design

About this Gig

Expert AI governance framework design. Align your AI models with GDPR, EU AI Act, and NIST. Includes risk controls, policy docs, and ethical guidelines.

Requirements

1. Current AI Inventory A list of all AI systems in use (or planned for development) For each: purpose, data sources, model type (LLM, predictive, computer vision, etc.), and whether it's third-party or built in-house 2. Regulatory & Compliance Landscape Jurisdictions where they operate (e.g., EU, US, UK, Canada) Relevant regulations they are subject to (EU AI Act, GDPR, HIPAA, CCPA, FINRA, etc.) Existing compliance frameworks already in use (SOC 2, ISO 27001, NIST, COBIT) 3. Risk Appetite & Tolerance Their organization’s overall risk posture (conservative, aggressive, balanced) Specific AI risks they are most concerned about: Bias & fairness Privacy & data leakage Security & adversarial attacks Hallucinations (for generative AI) Lack of explainability Vendor lock-in or model drift 4. Stakeholders & Decision-Making Structure Who currently owns AI or data initiatives (C-suite sponsor, Data Science team, Legal, Risk, Product) Key roles to involve in governance: compliance officer, data privacy lead, IT security, business unit heads Existing committees (e.g., Data Governance Council, Ethics Board) 5. Current Policies & Controls (if any) Existing AI-related policies, guidelines, or codes of conduct Any current review or approval processes for AI deployment Incident response procedures for model failures or adverse outcomes 6. Maturity Level & Urgency Where they rate their AI governance maturity (ad hoc → repeatable → managed → optimized) Timeline expectations (e.g., draft framework in 4 weeks, fully operational in 3 months) Budget or resource constraints for implementation 7. Use Case Deep Dive (2–3 priority examples) Specific, real-world AI use cases they intend to govern first (e.g., automated hiring screening, loan underwriting, customer service chatbot) For each: impact level (low/medium/high risk) and who is affected (internal employees, customers, the public) 8. Output Preferences Format(s) needed: policy documents, control matrix, RACI chart, workflow diagrams, dashboard mockups Level of detail: high-level principles vs. prescriptive operational controls Any existing templates or standards they want us to align with (e.g., ISO 42001, NIST AI RMF)

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