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DataDave Legalbot AI Governance Framework

🧩 DataDave Legalbot's Guide to Building a Responsible AI/ML Governance Framework

1. 🎯 Define Your AI Governance Strategy

Define your mission, risk appetite, and Responsible AI principles while embedding compliance with the EU AI Act for high-risk systems. This includes planning for:

2. πŸ“œ Create AI Governance Standards & Policies

Don’t start from scratch β€” reuse frameworks like NIST AI RMF or ISO 42001. But now, embed these EU AI Act processes:

Process Owner When Purpose
Risk Management (Art. 9) Provider Continuous (design β†’ retirement) Identify, reduce, and control risks to health, safety, and rights
Conformity Assessment (Art. 43) Provider Pre-market Verify regulatory compliance and enable CE marking
FRIA (Art. 27) Deployer Pre-deployment & updates Identify and mitigate risks to individuals' fundamental rights

Ensure your policies define templates, thresholds, and review protocols for each process clearly.

3. πŸ‘₯ Assign Roles Across the Lifecycle

Integrate these responsibilities into your "Who is Who":

4. 🧰 Enablement Through Tools

Choose tools that serve all roles involved in governance:

To meet specific EU AI Act requirements, consider aligning tools to key compliance processes:

Process Tooling Examples
Risk Management Risk registers, model cards, hazard tracking (e.g., Vectice, internal GRC tools)
Conformity Assessment CE documentation tools, Annex VI/VII templates, regulatory checklists
FRIA Custom questionnaires, ethics review dashboards, impact mapping platforms

5. πŸ›οΈ Governance Committee Responsibilities

Clarify their role as gatekeepers for regulatory assurance:

Ensure the committee represents ethics, legal, business, and tech perspectivesβ€”and avoids becoming a rubber stamp.

🧠 Final Framing: Why This Matters

β€œClear separation between risk management, conformity, and rights impact assessment helps organizations assign the right owners, design appropriate processes, and avoid conflating legal responsibilities. Each process has different timing, ownership, and consequences β€” and together they form the backbone of EU-compliant AI governance.”

πŸ“˜ Visual Summary: Key Compliance Processes

EU AI Act Compliance Processes

πŸ“˜ Visual Overview: Full Governance Flow

AI Governance Framework

πŸ“˜ Visual Overview: DataDave Legalbot Tools mapping

AI Governance Framework

πŸ“˜ Visual Overview: FAIRify as the Compliance Intelligence Layer for Tabular Models

Diagram showing FAIRify on top of MLflow, Vectice, Collibra, Arize, Fiddler, and Confluence, producing AI Act evidence (Annex IV, FRIA, audit commentary)

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