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

advanced Published 25 May 2026
Action Steps
  1. Define governance obligations using ontological knowledge blocks
  2. Implement OKBs in AI systems to enable executable compliance
  3. Configure profile-based validation to ensure transparency and accountability
  4. Test OKBs using automated audits and verification
  5. Apply OKBs to critical digital infrastructure to improve trustworthiness
  6. 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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