26 stories tagged Governance
Researchers introduced OpenAgentFlow, a system-level action-governance framework that evaluates AI agent actions for safety before they affect shared environments, addressing fragmentation in current safety measures.
OpenAI has introduced a new blog called AI Futures to discuss how AI could transform power, governance, the economy, and personal freedoms. The blog aims to foster discussion on the broader implications of advanced AI technologies.
Researchers introduced Agentao, a governed local-first runtime that separates AI agent action proposals from host-authorized execution to prevent over-privileged actions, prompt injection, and tool poisoning.
Researchers introduced the Experience Orchestrator (EO), a control-theoretic governance layer that prevents conversations between AI agents with opposing goals from collapsing. Tested in a simulated financial services environment, the EO successfully kept interactions productive where ungoverned conversations fail.
A new SaferAI report finds Z.ai's open-weight GLM-5.2 model approaches the capabilities of top-tier frontier AI systems while lacking critical safety mitigations, renewing concerns that powerful open models could outpace governance and safeguards.
OpenAI has appointed David Vélez, founder and CEO of Nubank, and Robin Vince, CEO of ARM, to the boards of the OpenAI Foundation and OpenAI Group PBC, bringing deep expertise in global finance, semiconductor technology, and governance to guide the AI company's strategic direction.
Researchers introduced Phionyx, a deterministic AI runtime architecture that treats LLM outputs as noisy sensor measurements rather than direct decisions. By enforcing structured state evolution, it ensures reproducible, auditable behavior for high-stakes applications requiring strict governance.
Provena is an open-source library that governs the data flowing into AI agents' context windows—filling a critical gap in AI governance. The project has 7 contributors and is actively seeking more, with 11 'good first issue' labels and 17 'help wanted' issues.
A VentureBeat survey of 101 enterprises reveals that AI agents are producing confident but wrong answers due to missing or inconsistent context. The core issue is trust, not retrieval — and most organizations are still building the governed semantic layer needed to fix it.
OpenAI outlines a 'reverse federalism' approach to AI governance, where state-level laws help build a national framework for safe, democratic AI. This strategy aims to make regulations more responsive to local needs while fostering innovation.
The UN Secretary-General warns that AI is advancing faster than regulations can be established. He calls for international cooperation to create frameworks that balance innovation with safety.
Scientists have developed a framework to control AI agents that can act independently. This could help prevent security and privacy risks as these systems become more common.
![ReARM: Governing AI Coding Agents Demo [video]](/images/articles/thumbs/2026-06-08-new-ai-system-rearm-demonstrates-how-to-govern-ai-coding-agents.webp?dpl=dpl_D53qRMk1EDFKSNfuVHZvHwUbtv5q)
A new system called ReARM demonstrates how to govern AI coding agents, ensuring they follow rules and perform tasks safely. Watch the demo video to see it in action.
Researchers have developed a new protocol to help AI agents work together more effectively. This could make AI systems better at sharing and verifying information, which is crucial as they become more integrated into our daily lives.
OpenAI has introduced a new Frontier Governance Framework to align its AI safety and security practices with emerging regulations. This move aims to ensure responsible AI development as the technology becomes more powerful.
Researchers found that different large language models (LLMs) often categorize the same public comments in conflicting ways. This can shape what policymakers see, potentially biasing decisions. The study proposes a new audit pipeline to flag disagreements for human review.
A California jury unanimously ruled that Elon Musk's lawsuit against Sam Altman and OpenAI was filed too late. This decision ends a long legal battle over the company's early governance and Musk's claims of mistreatment.
Enterprises are moving beyond AI experiments to widespread adoption. They're focusing on trust, governance, and workflow design to make AI truly useful. This shift could mean better AI tools for all of us.
Researchers propose a way to measure how much AI systems act with purpose, like a human. This could help us hold AI accountable for its actions. The framework defines intentionality as a set of behaviors, not consciousness, and shows how design choices affect these behaviors.
A new study shows AI systems can be tightly controlled without losing computational power. This could make AI safer while keeping it useful for everyday tasks.
Researchers developed a mathematical system to ensure AI behaves as intended. This could help make AI systems more reliable and trustworthy for everyday use.
A new report reveals that three-quarters of US health systems have adopted AI, but only 18% have implemented governance frameworks. This highlights a critical gap in oversight and accountability.
A high school sophomore created a protocol to verify AI agent actions cryptographically. Microsoft integrated the code into their agent governance toolkit.
Canada's Federal AI Register, launched in 2025, is more than a transparency tool—it actively shapes accountability. A new study reveals its limitations and biases in tracking AI systems. The register omits key details, raising questions about its effectiveness.