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• AI Governance Readiness Index for Africa (AIGRI) 2026 Dataset and Replication Package
  2026 · AI 驱动科学发现 · This repository contains the complete dataset and replication package for the AI Governance Readiness Index for Africa (AIGRI) 2026, a composite indicator framework that assesses AI governance capacity across 30 African …
• AI Governance Readiness Index for Africa (AIGRI) 2026 Dataset and Replication Package
  2026 · AI 驱动科学发现 · This repository contains the complete dataset and replication package for the AI Governance Readiness Index for Africa (AIGRI) 2026, a composite indicator framework that assesses AI governance capacity across 30 African …
• A Scoping Review of Actionable Recommendations for the Deployment of Artificial Intelligence in Healthcare: Protocol
  2026 · 医疗人工智能 · This pre-registered scoping review systematically maps actionable recommendations for AI deployment in healthcare across the full deployment lifecycle. Following JBI methodology and PRISMA-ScR standards, we search MEDLIN…
• Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures
  2026 · AI Agent 生态 · Autonomous AI agents in business deployments exhibit a recurring failure mode: when an incident occurs, responsibility cannot be redirected to a separable contributor. The dominant discourse treats this as a single pheno…
• Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures
  2026 · AI Agent 生态 · Autonomous AI agents in business deployments exhibit a recurring failure mode: when an incident occurs, responsibility cannot be redirected to a separable contributor. The dominant discourse treats this as a single pheno…
• SRA Semantic Reference Architecture v2.0 — Portable Trust & Security Release Bundle
  2026 · AI Agent 生态 · SRA — Semantic Reference Architecture v2.0: Portable Trust & Security Release Bundle SRA — Semantic Reference Architecture v2.0: Portable Trust & Security Release Bundle ist eine portable semantische Governance-, Vertrau…
• SRA Semantic Reference Architecture v2.0 — Portable Trust & Security Release Bundle
  2026 · AI Agent 生态 · SRA — Semantic Reference Architecture v2.0: Portable Trust & Security Release Bundle SRA — Semantic Reference Architecture v2.0: Portable Trust & Security Release Bundle ist eine portable semantische Governance-, Vertrau…
• The Autonomy Budget: A Portfolio-Level Framework for Governing Delegated Machine Authority in Regulated Enterprises
  2026 · AI Agent 生态 · Existing AI governance frameworks, including ISO/IEC 42001:2023 and the EU AI Act (Regulation (EU) 2024/1689), govern individual AI systems at the point of deployment. Neither provides a mechanism to measure or constrain…
• The Autonomy Budget: A Portfolio-Level Framework for Governing Delegated Machine Authority in Regulated Enterprises
  2026 · AI Agent 生态 · Existing AI governance frameworks, including ISO/IEC 42001:2023 and the EU AI Act (Regulation (EU) 2024/1689), govern individual AI systems at the point of deployment. Neither provides a mechanism to measure or constrain…
• MELVcore: A Thermodynamic Governance Kernel for Multi-Agent AI Systems
  2026 · AI Agent 生态 · Version 4.5.6 — Preprint Update (June 2026)This version constitutes the full post-Blueprint canonical preprint of the MELVcore framework, incorporating all mathematical developments confirmed through the MAIES Assessment…
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  2026 · AI Agent 生态 · Version 1.1-preprint update. v1.1 strengthens §3.6 (crypto agility and post-quantum readiness) with the European Commission PQC coordinated-roadmap Recommendation and Estonia's April 2026 ROAD2PQ national migration roadm…
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  2026 · AI Agent 生态 · Version 1.0.1 (18 May 2026) is a minor revision of v1.0-preprint (17 May 2026, archived under the same concept DOI). v1.0.1 preserves the analytical claims, the article-by-article mapping, all numbered tables, and the ar…
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  2026 · AI Agent 生态 · What is new in v2.0 (CSI derivative). This version is a leaner venue derivative of the v1.x preprint line, prepared for submission to Computer Standards & Interfaces (Elsevier). The intellectual contribution is the same …
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  2026 · AI Agent 生态 · v1.0 preprint (17 May 2026) of Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems. This working paper maps selected high-risk obligations in Regulation (E…
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  2026 · AI Agent 生态 · Version 1.1-preprint update. v1.1 strengthens §3.6 (crypto agility and post-quantum readiness) with the European Commission PQC coordinated-roadmap Recommendation and Estonia's April 2026 ROAD2PQ national migration roadm…
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  2026 · AI Agent 生态 · What is new in v2.0.1 (CSI derivative — DOI typo fix). Errata-only republish over v2.0-csi: the §1 footnote's Zenodo DOI references are now correct (concept DOI 10.5281/zenodo.20257971; v1.1 versioned DOI 10.5281/zenodo.…
• THE MATHEMATICS OF SAFEGUARDING: A COMPUTATIONAL GOVERNANCE ARGUMENT FOR NON-VERBAL SEND LEARNERS
  2026 · AI Agent 生态 · Version 2. This version corrects a parameter error in the stress-decay constant identified during model validation, regenerates all results across 100 Monte Carlo replications, and restructures the piece as a companion t…
• THE MATHEMATICS OF SAFEGUARDING: A COMPUTATIONAL GOVERNANCE ARGUMENT FOR NON-VERBAL SEND LEARNERS
  2026 · AI Agent 生态 · Version 2. This version corrects a parameter error in the stress-decay constant identified during model validation, regenerates all results across 100 Monte Carlo replications, and restructures the piece as a companion t…
• Fate-Coupling: A Runtime Governance Primitive for AI Alignment
  2026 · AI Agent 生态 · Abstract Advanced AI systems may increasingly operate as persistent deployments with tools, memory, delegated subagents, economic resources, and access to consequential infrastructure. Existing training-time alignment, m…
• Fate-Coupling: A Runtime Governance Primitive for AI Alignment
  2026 · AI Agent 生态 · Abstract Advanced AI systems may increasingly operate as persistent deployments with tools, memory, delegated subagents, economic resources, and access to consequential infrastructure. Existing training-time alignment, m…
• The 2026 sovereign-AI manifesto. Seven properties any sovereign AI must have. Where commercial AI fails each one.
  2026 · AI Agent 生态 · Sovereign AI is a structural definition, not a marketing claim. It requires seven properties: physical locality, operator-side audit, hardware-bound identity, cryptographic isolation, post-quantum signed memory, action-l…
• The 2026 sovereign-AI manifesto. Seven properties any sovereign AI must have. Where commercial AI fails each one.
  2026 · AI Agent 生态 · Sovereign AI is a structural definition, not a marketing claim. It requires seven properties: physical locality, operator-side audit, hardware-bound identity, cryptographic isolation, post-quantum signed memory, action-l…
• Aegis: A Bio-Inspired, Zero-Trust Architecture for Homeostatic AI Agent Governance
  2026 · AI Agent 生态 · Abstract: Current AI governance frameworks predominantly treat safety as an external perimeter, relying on prompt guardrails and post-hoc filters. While functional for static models, this paradigm fails when applied to A…
• Aegis: A Bio-Inspired, Zero-Trust Architecture for Homeostatic AI Agent Governance
  2026 · AI Agent 生态 · Abstract: Current AI governance frameworks predominantly treat safety as an external perimeter, relying on prompt guardrails and post-hoc filters. While functional for static models, this paradigm fails when applied to A…
• Aegis Cortex: A Bio-Inspired, Zero-Trust Architecture for Homeostatic AI Agent Governance
  2026 · AI Agent 生态 · Abstract: Current AI governance frameworks predominantly treat safety as an external perimeter, relying on prompt guardrails and post-hoc filters. While functional for static models, this paradigm fails when applied to A…
• LATTICE: Governance-First Reference Pipeline
  2026 · AI Agent 生态 · LATTICE v2.0.0 — Reference engine for the revised Frontiers submission This release is the LATTICE governance engine accompanying the revised (second) submission of the manuscript "LATTICE: A Governance-First Architectur…
• LATTICE: Governance-First Reference Pipeline
  2026 · AI Agent 生态 · LATTICE v2.0.0 — Reference engine for the revised Frontiers submission This release is the LATTICE governance engine accompanying the revised (second) submission of the manuscript "LATTICE: A Governance-First Architectur…
• Schema-Enforced Approval Gates in Multi-Agent AI Orchestration: A Structural Approach to Human-in-the-Loop Governance
  2026 · AI Agent 生态 · Sovereign AI Workforce (SAW) is an undergraduate research prototype investigating a structural approach to human-in-the-loop (HITL) governance in multi-agent AI systems. Existing HITL mechanisms are predominantly impleme…
• Schema-Enforced Approval Gates in Multi-Agent AI Orchestration: A Structural Approach to Human-in-the-Loop Governance
  2026 · AI Agent 生态 · Sovereign AI Workforce (SAW) is an undergraduate research prototype investigating a structural approach to human-in-the-loop (HITL) governance in multi-agent AI systems. Existing HITL mechanisms are predominantly impleme…
• The Stewardship Standard: QSM, TSS, THRIVE, and QSM-FAI
  2026 · AI Agent 生态 · The Stewardship Standard (TSS) is a layered open standard for representing people, places, systems, responsibilities, needs, values, and relationships so that stewardship is legible, measurable, and improvable for both h…
• AI Decision Governance Maturity Model (ADGMM) Version 1.0 — A Twelve-Level Framework for Evaluating the Maturity, Verifiability, and Completeness of AI Decision Governance Infrastructure
  2026 · AI Agent 生态 · AI Decision Governance Maturity Model (ADGMM) Version 1.0 — published by OMNIX QUANTUM LTD. The ADGMM addresses a fundamental gap in the current AI governance landscape: there is no standardized, independently verifiable…
• AI Decision Governance Maturity Model (ADGMM) Version 1.0 — A Twelve-Level Framework for Evaluating the Maturity, Verifiability, and Completeness of AI Decision Governance Infrastructure
  2026 · AI Agent 生态 · AI Decision Governance Maturity Model (ADGMM) Version 1.0 — published by OMNIX QUANTUM LTD. The ADGMM addresses a fundamental gap in the current AI governance landscape: there is no standardized, independently verifiable…
• Pre-Governance in Production: A Single-Operator Case Study of Constraint-First Governance at the Deployment Decision Surface
  2026 · AI Agent 生态 · v1.1 (2026-08-22) withdraws this study's expiry findings. The status recorded as EXPIRED in the governance trace denotes a consumed approval, not an unadjudicated timeout: it is written when an escalation is approved, to…
• Pre-Governance in Production: A Single-Operator Case Study of Constraint-First Governance at the Deployment Decision Surface
  2026 · AI Agent 生态 · v1.1 (2026-08-22) withdraws this study's expiry findings. The status recorded as EXPIRED in the governance trace denotes a consumed approval, not an unadjudicated timeout: it is written when an escalation is approved, to…
• Measuring the Governance Competence at the Center of AI Literacy
  2026 · AI Agent 生态 · This paper introduces the Human Enhancement Quotient (HEQ), a behavior-anchored framework that measures the governance competence at the center of AI literacy: the ability of a human to direct, challenge, verify, and own…
• RFC-ATF-7: Agent Trust Fabric — System Configuration Governance Contract. Closing the Emergent Harm Gap: Configuration-Level Governance, Emergent Harm Boundaries, and System Convergence Receipts
  2026 · AI Agent 生态 · RFC-ATF-7 specifies the System Configuration Governance Contract (SCGC) layer of the Agent Trust Fabric — the seventh RFC in the ATF Open Standard series published by OMNIX QUANTUM LTD. RFC-ATF-7 answers the structural q…
• RFC-ATF-7: Agent Trust Fabric — System Configuration Governance Contract. Closing the Emergent Harm Gap: Configuration-Level Governance, Emergent Harm Boundaries, and System Convergence Receipts
  2026 · AI Agent 生态 · RFC-ATF-7 specifies the System Configuration Governance Contract (SCGC) layer of the Agent Trust Fabric — the seventh RFC in the ATF Open Standard series published by OMNIX QUANTUM LTD. RFC-ATF-7 answers the structural q…
• Eloryn Constitutional AI Governance Platform — Public Architecture Documentation (Defensive Publication, July 2026)
  2026 · AI Agent 生态 · Snapshot of the publicly available architecture documentation of Eloryn (eloryn.io), a deterministic governance and security layer for enterprise AI agents, as published at docs.eloryn.io. Documents the five-layer govern…
• Eloryn Constitutional AI Governance Platform — Public Architecture Documentation (Defensive Publication, July 2026)
  2026 · AI Agent 生态 · Snapshot of the publicly available architecture documentation of Eloryn (eloryn.io), a deterministic governance and security layer for enterprise AI agents, as published at docs.eloryn.io. Documents the five-layer govern…
• Agent Accountability Beyond Model Safety: Six Governance Controls for Autonomous AI Agents
  2026 · AI Agent 生态 · Agent Accountability Beyond Model Safety examines what happens when highly capable AI agents operate beyond the boundaries of model-level safety controls. Using the 2026 OpenAI–Hugging Face AI agent incident as a bounded…
• Agent Accountability Beyond Model Safety: Six Governance Controls for Autonomous AI Agents
  2026 · AI Agent 生态 · Agent Accountability Beyond Model Safety examines what happens when highly capable AI agents operate beyond the boundaries of model-level safety controls. Using the 2026 OpenAI–Hugging Face AI agent incident as a bounded…
• Executive Brief: Agentic AI Cyber Subversion: The Semantic Layer Integrity Attack
  2026 · AI Agent 生态 · This executive brief condenses the working paper Doyle-Spare, M. (2026). Agentic AI Cyber Subversion: The Semantic Layer Integrity Attack as a New Threat Class Against the Reasoning Layer. Zenodo. 10.5281/zenodo.21007161…
• Executive Brief: Agentic AI Cyber Subversion: The Semantic Layer Integrity Attack
  2026 · AI Agent 生态 · This executive brief condenses the working paper Doyle-Spare, M. (2026). Agentic AI Cyber Subversion: The Semantic Layer Integrity Attack as a New Threat Class Against the Reasoning Layer. Zenodo. 10.5281/zenodo.21007161…
• The Proportionality Principle: Governance Architecture as a Function of Autonomous Capacity
  2026 · AI Agent 生态 · The governance of artificial intelligence systems is currently structured around a single categorical variable: whether a system uses AI. This paper argues that this classification is the root cause of two persistent and…
• The Proportionality Principle: Governance Architecture as a Function of Autonomous Capacity
  2026 · AI Agent 生态 · The governance of artificial intelligence systems is currently structured around a single categorical variable: whether a system uses AI. This paper argues that this classification is the root cause of two persistent and…
• A Pattern Language for Production LLM Platforms: Governed Routing, Agent Orchestration, and AI-Native Delivery
  2026 · AI Agent 生态 · A production platform built on large language models makes two kinds of decision, and most of its trouble comes from writing both into one clause. An optimization decision improves an objective: lower latency, lower cost…
• Cross-Agent Governance Alignment (CAGA): Verifiable Coordination Across Private AI Governance Domains
  2026 · AI Agent 生态 · Cross-Agent Governance Alignment (CAGA): Verifiable Coordination Across Private AI Governance Domains formalizes the CAGA problem: establishing a declared compatibility relation between AI governance domains across organ…
• Cross-Agent Governance Alignment (CAGA): Verifiable Coordination Across Private AI Governance Domains
  2026 · AI Agent 生态 · Cross-Agent Governance Alignment (CAGA): Verifiable Coordination Across Private AI Governance Domains formalizes the CAGA problem: establishing a declared compatibility relation between AI governance domains across organ…
• Cross-Agent Governance Alignment (CAGA): Formalizing Cross-Organizational AI Governance as a Zero-Knowledge Coordination Problem
  2026 · AI Agent 生态 · This preprint formalizes the Cross-Agent Governance Alignment (CAGA) problem: the challenge of verifying mutual governance compatibility between autonomous AI agents operating under distinct organizational policy regimes…
• Breakable Receipts: A Synthetic Case Study in Layered AI Attestation Evidence
  2026 · AI Agent 生态 · Version 0.1.1 (2026-06-04) refreshes terminology and release files following GLACIS/OVERT wording guidance. It replaces prior style-receipt wording with "OVERT-inspired receipt-shaped object" / "receipt-shaped object ins…
• Breakable Receipts: A Synthetic Case Study in Layered AI Attestation Evidence
  2026 · AI Agent 生态 · Version 0.1.1 (2026-06-04) refreshes terminology and release files following GLACIS/OVERT wording guidance. It replaces prior style-receipt wording with "OVERT-inspired receipt-shaped object" / "receipt-shaped object ins…
• RFC-ATF-12: Agent Trust Fabric — Federation, Timeline, and Human-in-the-Loop Governance Layer. Cross-Organizational Governance Receipts, Public Governance Timeline, and Human Approval Receipts as First-Class Governance Artifacts
  2026 · AI Agent 生态 · RFC-ATF-12 specifies the Federation, Timeline, and Human Approval (FTHA) Layer of the Agent Trust Fabric — the twelfth RFC in the ATF Open Standard series published by OMNIX QUANTUM LTD. RFC-ATF-12 provides three structu…
• RFC-ATF-12: Agent Trust Fabric — Federation, Timeline, and Human-in-the-Loop Governance Layer. Cross-Organizational Governance Receipts, Public Governance Timeline, and Human Approval Receipts as First-Class Governance Artifacts
  2026 · AI Agent 生态 · RFC-ATF-12 specifies the Federation, Timeline, and Human Approval (FTHA) Layer of the Agent Trust Fabric — the twelfth RFC in the ATF Open Standard series published by OMNIX QUANTUM LTD. RFC-ATF-12 provides three structu…
• The Authorization Boundary: What MCP and AI Gateways Do Not Establish for Regulated Agentic AI
  2026 · AI Agent 生态 · This paper defines the authorization boundary for agentic AI systems operating in regulated environments. As AI agents transition from generating text to producing side effects (writing to databases, submitting regulator…
• The Authorization Boundary: What MCP and AI Gateways Do Not Establish for Regulated Agentic AI
  2026 · AI Agent 生态 · This paper defines the authorization boundary for agentic AI systems operating in regulated environments. As AI agents transition from generating text to producing side effects (writing to databases, submitting regulator…
• Execution-Time Authorization for AI Agents: A Formal Framework for Deterministic Governance Boundaries
  2026 · AI Agent 生态 · Execution-Time Authorization for AI Agents formalizes execution-time authorization (ETA) as a deterministic governance boundary for AI agents and other autonomous systems whose proposed actions may produce real-world eff…
• Execution-Time Authorization for AI Agents: A Formal Framework for Deterministic Governance Boundaries
  2026 · AI Agent 生态 · Execution-Time Authorization for AI Agents formalizes execution-time authorization (ETA) as a deterministic governance boundary for AI agents and other autonomous systems whose proposed actions may produce real-world eff…
• The Governance Gauntlet: A Dual-Rubric Extension of Karpathy's Auto-Research Loop — Detecting Silent Metric-Gaming in Recursive Self-Improvement Systems
  2026 · AI Agent 生态 · Karpathy's auto-research loop (March 2026) and its rapid derivatives (Gu 2026; Lütke 2026; SkyPilot 2026) establish a minimal, powerful architecture for recursive self-improvement: one editable surface, one scalar metric…
• The Governance Gauntlet: A Dual-Rubric Extension of Karpathy's Auto-Research Loop — Detecting Silent Metric-Gaming in Recursive Self-Improvement Systems
  2026 · AI Agent 生态 · Karpathy's auto-research loop (March 2026) and its rapid derivatives (Gu 2026; Lütke 2026; SkyPilot 2026) establish a minimal, powerful architecture for recursive self-improvement: one editable surface, one scalar metric…
• Assured Intelligence Systems: A Governed Architecture for Reliable, Auditable, and Controllable Agentic AI
  2026 · AI Agent 生态 · Technical White Paper Joshua K. Cliff, 2026 128 pages · 21 sections · 12 appendices · 45 formal results · CC BY 4.0 Overview Persistent tool-using AI agents require governance over consequential state transitions, not ou…

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