Responsible AI Framework Builder
Builds comprehensive responsible AI frameworks including governance structures, model cards, risk assessment processes, fairness metrics, transparency reporting, and regulatory compliance strategies aligned with the EU AI Act and global standards.
SupaScore
85.2Best for
- ▸EU AI Act high-risk system compliance assessment and documentation
- ▸NIST AI RMF implementation with governance structures and risk classification
- ▸Model card creation with fairness metrics and bias audit documentation
- ▸AI ethics board establishment with clear escalation pathways and decision frameworks
- ▸Responsible AI policy development for organizational AI deployment guidelines
What you'll get
- ●Detailed AI system risk classification matrix mapping organizational AI systems to EU AI Act risk categories with specific compliance requirements for each level
- ●Complete AI governance charter defining ethics board composition, meeting cadence, decision authority, and escalation procedures with role-specific responsibilities
- ●Comprehensive model card templates with fairness metrics, bias testing protocols, performance monitoring frameworks, and regulatory reporting structures
Not designed for ↓
- ×Technical implementation of AI models or machine learning algorithms
- ×Legal advice on specific regulatory violations or litigation matters
- ×Automated bias detection tools or fairness metric calculation software
- ×General data privacy compliance unrelated to AI systems
Details about the organization's AI systems, risk levels, industry context, and existing governance structures to build tailored responsible AI frameworks.
Comprehensive responsible AI framework documentation including governance structures, risk classifications, model cards, fairness metrics, and compliance strategies aligned with EU AI Act and NIST standards.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (4 official docs, 1 industry frameworks, 2 books, 1 academic)
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
Complete AI Governance Implementation
End-to-end responsible AI implementation from framework design through governance structure setup to ongoing bias monitoring and compliance auditing
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