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Scientific Computing and Data Management

Работ: 62

  1. Deterministic Governance Is Multi-Dimensional: Beyond Authorization in AI Systems

    Edward Meyman

    ПрепринтAccess Control and TrustSSRN Electronic Journal2026Цитирований: 0
    ABI

  2. Deterministic Engines and Deterministic Governance: Why Correctness Is Not Permission

    Edward Meyman

    ПрепринтEthics and Social Impacts of AIZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  3. Structurally Native Explainability and Cryptographic Transparency in the BLOOM Distributed Neuro-Symbolic Architecture: The First AI System with Auditable Pattern Provenance by Design

    Babatope Afolabi

    ПрепринтExplainable Artificial Intelligence (XAI)Zenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  4. Structurally Native Explainability and Cryptographic Transparency in the BLOOM Distributed Neuro-Symbolic Architecture: The First AI System with Auditable Pattern Provenance by Design

    Babatope Afolabi

    ПрепринтExplainable Artificial Intelligence (XAI)Zenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  5. Evidence Projection in Multi-Jurisdictional AI Governance

    Edward Meyman

    ПрепринтScientific Computing and Data ManagementZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  6. Decoupling Evidence from Execution: A Zero-Knowledge Runtime Authority and Dynamic Refusal Protocol for Agentic AI

    Siddiqui Jameel Ahmed

    ПрепринтScientific Computing and Data ManagementZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  7. Authorization Architectures for AI-Driven Critical Infrastructure: Runtime Authorization for AI-Assisted Decision Systems in Nuclear and Renewable Energy Environments

    Edward Meyman

    ПрепринтAdversarial Robustness in Machine LearningZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  8. Authorization Architectures for AI-Driven Critical Infrastructure: Runtime Authorization for AI-Assisted Decision Systems in Nuclear and Renewable Energy Environments

    Edward Meyman

    ПрепринтAdversarial Robustness in Machine LearningZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  9. Model-to-Model Collision (M2MC): A Conceptual Framework for Quantifying Cross-Model Semantic Invalidation in Autonomous Multi-Vendor AI Ecosystems

    Siddiqui Jameel Ahmed

    ПрепринтSoftware System Performance and ReliabilityZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  10. Model-to-Model Collision (M2MC): A Conceptual Framework for Quantifying Cross-Model Semantic Invalidation in Autonomous Multi-Vendor AI Ecosystems

    Siddiqui Jameel Ahmed

    ПрепринтSoftware System Performance and ReliabilityZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  11. Provable Accountability for Synthetic Harm: Binding Cryptographic Provenance to Evidentiary Presumptions

    Siddiqui Jameel Ahmed

    ПрепринтScientific Computing and Data ManagementZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  12. Provable Accountability for Synthetic Harm: Binding Cryptographic Provenance to Evidentiary Presumptions

    Siddiqui Jameel Ahmed

    ПрепринтScientific Computing and Data ManagementZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI