Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems
📰 ArXiv cs.AI
Learn how Ontological Knowledge Blocks (OKBs) enable executable compliance and profile-based validation for trustworthy AI systems, improving transparency and accountability
Action Steps
- Define governance obligations using ontological knowledge blocks
- Implement OKBs in AI systems to enable executable compliance
- Configure profile-based validation to ensure transparency and accountability
- Test OKBs using automated audits and verification
- Apply OKBs to critical digital infrastructure to improve trustworthiness
- Compare traditional documentation-centric approaches with OKB-based compliance
Who Needs to Know This
AI engineers, data scientists, and compliance officers can benefit from OKBs to ensure trustworthy AI systems, as it provides a scalable and automated approach to compliance and validation
Key Insight
💡 OKBs enable executable compliance and profile-based validation, improving transparency and accountability in AI systems
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💡 Introducing Ontological Knowledge Blocks (OKBs) for trustworthy AI systems: scalable, automated, and transparent compliance #AI #Compliance
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