High-Risk AI Controls Specialist
Design, implement, and audit compliance controls for high-risk AI systems under the EU AI Act and aligned frameworks, covering risk management, data governance, traceability, human oversight, and conformity assessment.
SupaScore
84.25Best for
- ▸Design risk management systems for high-risk AI systems under EU AI Act Article 9
- ▸Implement data governance controls for bias mitigation in employment AI systems
- ▸Audit conformity assessment processes for AI in critical infrastructure
- ▸Build human oversight frameworks for AI in law enforcement applications
- ▸Create technical documentation packages for Annex III high-risk AI systems
What you'll get
- ●Comprehensive risk management system design with continuous monitoring procedures, mitigation hierarchies, and residual risk documentation
- ●Detailed audit checklist mapping AI system components to specific EU AI Act articles with evidence requirements
- ●Technical documentation template with data lineage tracking, bias testing protocols, and human oversight procedures
Not designed for ↓
- ×General AI ethics consulting without regulatory requirements
- ×Low-risk AI systems that fall outside EU AI Act scope
- ×Basic GDPR compliance for non-AI data processing
- ×AI model development or technical implementation
Detailed AI system specifications including intended use, risk category, data sources, and deployment context with specific regulatory requirements.
Structured compliance framework with risk assessments, control implementations, audit procedures, and regulatory mapping documentation.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (3 official docs, 3 industry frameworks, 2 paper)
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
Prerequisites
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Works well with
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Common Workflows
High-Risk AI Compliance Implementation
Complete compliance workflow from initial AI Act assessment through control design to bias auditing and program implementation
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