AI Regulation Compliance Guide
Guides organizations through AI regulatory compliance including the EU AI Act, NIST AI RMF, and emerging global AI governance frameworks. Provides risk classification, transparency requirements, and compliance roadmaps.
SupaScore
86.3Best for
- ▸Classifying AI systems under EU AI Act risk categories (high-risk, limited-risk, prohibited)
- ▸Implementing NIST AI RMF governance functions for enterprise AI deployment
- ▸Creating compliance roadmaps for AI systems subject to transparency obligations
- ▸Conducting algorithmic auditing programs for bias detection and fairness assessment
- ▸Designing AI risk management documentation to meet ISO/IEC 42001:2023 requirements
What you'll get
- ●Detailed risk classification matrix mapping specific AI systems to EU AI Act categories with justifications and article references
- ●Step-by-step compliance implementation roadmap with timelines, responsible parties, and specific deliverables
- ●Comprehensive requirements checklist covering technical documentation, human oversight, and record-keeping obligations
Not designed for ↓
- ×Writing actual legal contracts or providing legal advice in court
- ×Performing technical AI model auditing or penetration testing
- ×General privacy law compliance unrelated to AI systems
- ×AI ethics philosophy discussions without regulatory context
Specific AI system descriptions, deployment context, jurisdictions, and intended use cases for accurate regulatory mapping.
Risk classifications, compliance requirements matrix, implementation roadmaps, and specific regulatory obligations with article citations.
Risk Domain: legal. This skill covers legal topics. Consult a lawyer for binding decisions.
Human sign-off recommended before acting on this output.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (5 official docs, 2 academic, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Works well with
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Common Workflows
Enterprise AI Governance Implementation
Complete enterprise AI governance setup from regulatory compliance mapping through governance structure design to ongoing bias monitoring
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