AI Agent Governance

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30 papers in the last four weeks, up 50% on the four weeks before. 0.3% of all new papers.

Jul 13Week of Sep 28

Latest papers 282

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Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding
May 26, 2026Muhammad Zia Hydari, Raja Iqbal, Narayan RamasubbuAgentic Workflows AI Agent Governance
School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania, USA · Ejento.ai, Seattle, Washington, USA
Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study
May 26, 2026Anas H. AlzahraniLong-Horizon Agent Evaluation AI Agent Governance
Department of Preventive Medicine and Public Health, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
From Model Scaling to System Scaling: Scaling the Harness in Agentic AI
May 25, 2026Shangding GuLLM Agent Orchestration AI Agent Benchmarks
UC Berkeley
The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossible
May 25, 2026Lauri Lovén, Nam Do, Hassan Mehmood +2AI Agent Reliability AI Agent Governance
Future Computing Group University of Oulu Oulu, Finland · Department of Computer Science University of Helsinki Helsinki, Finland
KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition
May 25, 2026Kolawole QuadriAI Agent Security AI Agent Governance
Veldt Labs USA
Specifying AI-SDLC Processes: A Protocol Language for Human-Agent Boundaries
May 24, 2026Ylli PriftiSoftware Engineering Agents LLM Agent Orchestration
Birkbeck, University of London
Habermolt: Delegating Deliberation to AI Representatives
May 23, 2026Joseph Low, Oscar Duys, Claude Formanek +2Deliberative Democracy AI Agent Governance
Cooperative AI Research Fellowship · AI Safety South Africa · MIT +1
Foundation Protocol: A Coordination Layer for Agentic Society
May 22, 2026Bang Liu, Yongfeng Gu, Jiayi Zhang +26Multi-Agent Coordination Multi-Agent Orchestration
FoundationAgents · Université de Montréal & Mila · HKUST(GZ) +8
Redrawing the AI Map: A Theory of Accountability Boundaries in Agentic Ecosystems
May 22, 2026Muhammad Zia Hydari, Farooq MuzaffarAI Accountability Agentic Workflows
University of Pittsburgh
Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
May 21, 2026Poli Nemkova, Haeshitha Indukuri, Jaedon CharlesAI Accountability AI Agent Governance
University of North Texas · Florida International University
Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents
May 21, 2026Ting LiuLLM Agents AI Agent Governance
SymbolicLight Research Foshan, Guangdong, China
Governance by Construction for Generalist Agents
May 20, 2026Segev Shlomov, Iftach Shoham, Alon Oved +7LLM Guardrails AI Agent Governance
IBM Haifa, Israel
Progressive Autonomy as Preference Learning: A Formalization of Trust Calibration for Agentic Tool Use
May 18, 2026Changkun OuTool-Using Agents Safe Bayesian Optimization
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
May 18, 2026Hongyi Liu, Haoyan Yang, Tao Jiang +4AI Coding Agents LLM Agent Skill Learning
1MemTensor (Shanghai) Technology · 2Harbin Institute of Technology · 3Soochow University +1
Verify-Gated Completion as Admission Control in a Governed Multi-Agent Runtime: A Bounded Architecture Case Study
May 18, 2026Hai-Duong Nguyen, Xuan-The TranLLM Agent Verification Multi-Agent Systems
Vietnam Maritime University, Haiphong, Vietnam
Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems
May 18, 2026Riddhi Mohan SharmaAI Agent Safety Runtime Enforcement for AI Agents
IAM Architect & Non-Human Identity Governance Enterprise Identity, M&A Integration, Regulated Environments
Going Headless? On the Boundaries of Vertical AI Firms
May 18, 2026Muhammad Zia Hydari, Farooq MuzaffarAI Accountability AI Agent Governance
University of Pittsburgh
Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science
May 18, 2026Yingjie Zhang, Chun Feng, Weizhang Zhu +1Agentic Workflows AI Agent Governance
Guanghua School of Management, Peking University, Beijing, China · Xi’an Jiaotong University, Beijing, China · Cheung Kong Graduate School of Business, Beijing, China
Responsible Agentic AI Requires Explicit Provenance
May 16, 2026Jinwei Hu, Xinmiao Huang, Qisong He +3Data Provenance Algorithmic Accountability
School of Computer Science and Informatics, University of Liverpool, UK · Department of Computer Science, Mohamed bin Zayed University of Artificial Intelligence, UAE
Some[Body] Must Receive That Pain for Agent Accountability
May 16, 2026Botao Amber Hu, Helena RongAI Accountability Algorithmic Accountability
University of Oxford · Oxford, UK · New York University Shanghai +1
The End of Trust: How Agentic AI Breaks Security Assumptions
May 14, 2026Osama Zafar, Alexander Nemecek, Erman AydayAI Agent Security AI Agent Governance
Dept. of Computer and Data Sciences Case Western Reserve University Cleveland, USA
Verifiable Agentic Infrastructure: Proof-Derived Authorization for Sovereign AI Systems
May 13, 2026Jun He, Deying YuAI Agent Security AI Agent Governance
Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
May 12, 2026Matthew D. Laws, Alina Oprea, Cristina Nita-RotaruAI Agent Security AI Agent Monitoring
Northeastern University
Autonomy and Agency in Agentic AI: Architectural Tactics for Regulated Contexts
May 12, 2026Damir Safin, Dian BaltaAI Agent Governance Human Oversight of AI
fortiss GmbH, Research Institute of the Free State of Bavaria for software-intensive systems, Munich, Germany
Property-Level Reconstructability of Agent Decisions: An Anchor-Level Pilot Across Vendor SDK Adapter Regimes
May 12, 2026Oleg SolozobovAI Agent Auditing Agent Evaluation
Independent Researcher (Global)
A Research Agenda on Agents and Software Engineering: Outcomes from the Rio A2SE Seminar
May 12, 2026Davide Taibi, Henry Muccini, Karthik Vaidhyanathan +15Software Engineering Agents AI Agent Governance
University of Southern Denmark, Vejle, Denmark · Software Engineering Research Center, IIIT Hyderabad, India · Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
Digital Identity for Agentic Systems: Toward a Portable Authorization Standard for Autonomous Agents
May 12, 2026Partha MadhiraAI Agent Security AI Agent Governance
Under the Hood of SKILL.md: Semantic Supply-chain Attacks on AI Agent Skill Registry
May 12, 2026Shoumik Saha, Kazem Faghih, Soheil FeiziAI Agent Security LLM Agent Skill Retrieval
Department of Computer Science, University of Maryland - College Park
Agent-First Tool API: A Semantic Interface Paradigm for Enterprise AI Agent Systems
May 11, 2026Kai PanTool-Using Agents AI Agent Governance
A2A Lab
Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems
May 11, 2026Tianxiao Li, Yixing Ma, Haiquan Wen +4Multi-Agent LLM Systems AI Agent Governance
University of Liverpool, UK · University of Nottingham, UK · University of Tokyo, Japan +1

May 26, 2026, cs.AIJ/K move · Enter open · S save

Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding

Muhammad Zia Hydari, Raja Iqbal, Narayan Ramasubbu

School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania, USA · Ejento.ai, Seattle, Washington, USA

Agentic Workflows AI Agent Governance

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Agentic AI systems combine probabilistic reasoning with delegated action through tools, context, memory, orchestration, and external workflow integration. This note develops a formal and managerially usable model that distinguishes Agentic Technical Debt from Stochastic Tax. Agentic Technical Debt is a stock of accumulated design and governance liability. Stochastic Tax is a recurring flow of operating burden that arises when stochastic agents are used in business workflows. The two constructs are related, but they are not the same: debt can amplify the tax, while the tax can remain positive even when debt is minimized. The note starts from a compact dashboard expression, expands it into a fuller structural model, defines all variables and parameters, shows how each cost category can be estimated from operational data, and illustrates the framework with an accounts-payable simulation and companion spreadsheet.

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