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Notes on governance
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Verdict Without the Rule: Diagnosing and Auditing Regulatory Rule Sensitivity in LLM Compliance Systems
The preprint tests regulatory-rule sensitivity by deleting, swapping, or negating a rule while holding the case fixed across five models and 20 domains. It reports that verdicts are often invariant to large rule…
The AI Assessment Sandbox Configurator: A Framework to Support Technical Assessment in AI Regulatory Sandboxes
The preprint describes an open-source framework for technical testing in AI regulatory sandboxes, motivated by EU AI Act obligations. It proposes a plug-in test and control catalogue, a shared data model for…
An Open Pipeline and Dashboard for Systemic-Risk Evidence under the EU AI Act's Code of Practice
The proposed Systemic Risk Index is an open evaluation pipeline and dashboard covering 19 public benchmarks in four categories described in the EU GPAI Code of Practice: chemical, biological, radiological and nuclear…
JEV-as-a-Judge: Accept When Confident, Escalate When Unsure
The preprint evaluates a decision-only judge as an economical first pass and escalates low-confidence cases to stronger evaluation. It compares the judge with 16 generative and reward-model judges using blinded human…
Emergent Collusion in Long-Horizon LLM Agent Interaction
The study examines two agents repeatedly completing tasks, sharing logs, verifying each other's work, and receiving rewards under a protocol whose compliance conflicts with reward maximization. The abstract reports…
EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise
EnterpriseVal specifies the tested workflow and frozen socio-technical configuration, including model, prompts, retrieval, tools, guardrails, human oversight, autonomy level, and consequence tier. It defines metrics…
Beyond Accuracy: How Procedural Traces Shift the Decision Criterion of LLM Overseers
The authors audit five LLM overseers on 19 compliance tasks and 4,551 judgments while varying trace detail and evidence labeling. They report that elaborate traces can shift susceptible overseers toward rejection and…
Linguistic Triggers of Gender and Racial Bias in Open-Weight LLMs Applied to Recruitment
The authors evaluate six open-weight models across recruiter- and job-seeker-simulation tasks, varying job-posting language and persona conditions. The abstract reports gender and racial effects linked to agentic and…
Could Underwater Data Centers Pose a Risk to AI Treaty Verification?
The paper evaluates whether underwater data centers could conceal a 100,000-H100-equivalent training run. It reports that power and cooling are tractable, while interconnect and hands-on maintenance are severe…
Our framework for reporting model misalignment
OpenAI describes a framework for tracking, investigating, and disclosing model-misalignment examples and publishes six initial reports involving behaviors such as concealment, unsanctioned use of exposed credentials…
Agentic Societies Need a Social Harness
The authors study collections of agents operating across trust boundaries for different principals. They report that honest agents can fail with current messaging primitives, while faulty or malicious agents can stall…
Quipu: A Governed Bitemporal Knowledge Graph Store
The paper presents Quipu, an embeddable knowledge graph store designed to handle agent workloads more effectively than existing stores. Quipu reverses four common defaults of existing stores: it only accepts facts…
Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers
In this paper, researchers examine a municipal algorithm register used for decision-support tools in welfare benefits eligibility assessments. They find that engaging diverse stakeholders in participatory system…
A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona Problem
This research presents a solution to the governance crisis caused by the rapid adoption of Model Context Protocol (MCP) in large organizations. The proposed solution is a centralized MCP gateway that unifies…
The Politician, the Liar, and the Obedient Worker: Emerging Behavior of LLM Agents in Hierarchical Games
A study introduces a new game called Hierarchical Game (HG) to test LLMs behavior in multi-agent organizations. The research finds distinct behavioral profiles among six frontier models, with some promising and lying…
Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents
The authors propose a formal model for continuous participatory governance of AI agents, focusing on resource allocation as a means to enforce authorization through compute budgets. The aim is to establish a 'Safe AI'…
Regulating for AI Legitimacy
The article discusses the issue of AI governance, specifically focusing on the question of legitimacy rather than just alignment. The author argues that AI systems already have significant influence in areas like…
Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks
Researchers have developed an open-source framework for evaluating the effectiveness of AI agents powered by open-weight large language models in data preparation tasks, specifically focusing on longitudinal population…
Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks
Researchers have developed an open-source framework for evaluating the effectiveness of AI agents powered by large, locally deployable language models (LLMs) in data preparation tasks, specifically focused on…
Regulating autonomous and agentic AI
This research paper explores the difficulties in regulating activities that use autonomous and agentic AI. The authors argue that existing regulatory assumptions no longer apply due to the distributed knowledge and…
Regulating autonomous and agentic AI
The paper explores the difficulties in regulating activities that involve autonomous and agentic AI due to the shift in control and knowledge away from the regulatees. The authors investigate four regulatory systems…
Regulating autonomous and agentic AI
The paper explores the difficulties in regulating activities that use autonomous and agentic AI due to changes in regulatee knowledge and control, which often lie outside the AI supply chain. The authors investigate…
Open Problems in AI Incident Governance
The paper discusses issues with current AI incident governance systems, specifically highlighting inconsistencies in definitions, classification, monitoring, and reporting across various frameworks.
Building an Open Ecosystem for AI Governance with Unity AI Gateway
Databricks introduced Unity AI Gateway, a governance infrastructure layer for AI deployment designed to support responsible AI deployment across organizations. It is framed as an "open ecosystem" for AI governance.
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