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New system automates AI compliance with programmable knowledge blocks

Researchers have developed Ontological Knowledge Blocks (OKBs), a new system designed to make AI compliance more automated and scalable. OKBs translate regulatory obligations into machine-checkable constraints using structured evidence graphs and SHACL validation rules. This programmable infrastructure allows for dynamic reconfiguration of governance profiles without altering the AI service code itself. Prototypes were tested in an HPC resource allocation scenario, demonstrating efficient validation times and the ability to manage different governance profiles. AI

IMPACT Automates AI compliance, potentially reducing manual audit burdens and enabling more scalable governance for critical AI systems.

RANK_REASON The cluster contains a new academic paper detailing a novel system for AI compliance.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Aasish Kumar Sharma, Julian M. Kunkel ·

    Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems

    arXiv:2605.23297v1 Announce Type: new Abstract: AI-enabled services deployed in critical digital infrastructure are subject to governance obligations spanning transparency, accountability, fairness, and traceability. Compliance today remains documentation-centric: obligations are…

  2. arXiv cs.AI TIER_1 English(EN) · Julian M. Kunkel ·

    Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems

    AI-enabled services deployed in critical digital infrastructure are subject to governance obligations spanning transparency, accountability, fairness, and traceability. Compliance today remains documentation-centric: obligations are described in prose, audits rely on static check…