governance of artificial intelligence
PulseAugur coverage of governance of artificial intelligence — every cluster mentioning governance of artificial intelligence across labs, papers, and developer communities, ranked by signal.
8 day(s) with sentiment data
MATS Research fellowship expansion will lead to new AI governance research initiatives within 12 months
MATS Research is expanding its AI safety fellowship with new tracks and increased funding. This expansion suggests a growing investment in training researchers and founders in AI alignment, security, and governance, which is likely to spur new research initiatives and potentially novel approaches to AI governance challenges.
AI governance frameworks will increasingly demand mechanistic interpretability evidence within 18 months
The recent paper on AI safety verification highlights an 'audit gap' where current methods are insufficient for governance demands. As regulations mature, there will be a push for deeper, structural analysis beyond superficial behavioral checks, leading to requirements for mechanistic interpretability evidence to verify AI behavior.
Emerging AI governance discourse is broadening beyond safety to encompass product behavior control
A new perspective suggests AI governance needs to control not just safety but also product behavior, including aspects like identity, memory, and tone. This indicates a shift in focus within the AI governance field towards ensuring reliability and user experience through more comprehensive behavioral management.
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New study benchmarks open-weight models for AI governance bias
A new study published on arXiv addresses limitations in current AI governance analysis by benchmarking open-weight foundation models. The research utilizes the Global AI Dataset v2, a comprehensive database of country-s…
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AI Governance Study Sparks Questions About Organizational Structures
The author's exploration into AI governance has led them to question organizational structures more than the AI itself. This journey into AI governance has prompted a deeper reflection on how organizations operate and m…
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Jamf launches AI Governance for macOS to control Gen AI tools
Jamf is introducing a new AI Governance control plane designed for macOS. This feature, integrated into Jamf Pro, aims to provide IT and security professionals with enhanced visibility and control over generative AI too…
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AI Safety Efforts Could Have Negative Consequences, Says Holden Karnofsky
Holden Karnofsky has compiled a list of potential negative consequences stemming from AI safety efforts. He acknowledges the importance of AI safety as a cause but expresses concern about overconfidence and the possibil…
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AI Governance Discussion to Focus on Data Worker Rights
The Weizenbaum Institute is hosting an online discussion on June 16, 2026, focusing on AI governance and the critical role of data workers. The event will bring together researchers and practitioners to explore labor co…
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New paper defines specialized legal role for AI governance
A new paper titled "The AI Legal Specialist" proposes that the evolving landscape of AI regulation is creating a distinct and autonomous legal professional role. This specialized expertise is necessary to navigate the c…
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AI safety efforts and US regulation spark debate and uncertainty
Concerns are mounting that AI safety efforts could inadvertently lead to negative outcomes, ranging from poorly designed regulations to an adversarial relationship with future AI systems. Experts like Holden Karnofsky h…
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Unjournal seeks legal scholars to rate AI policy research
The Unjournal project is seeking legal scholars to help expand its evaluation efforts into legal research, particularly concerning AI governance and safety. A prototype tool has been developed to source, curate, and rat…
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AI governance proposal grants NSA early access to models
A proposed AI governance framework is raising concerns due to its creation of a "chokepoint state." This model would grant the NSA 30-day classified access to frontier AI models before their public release. Critics argu…
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AI governance policy brief cites summit work, explores IP alternatives
A policy brief on governing AI for cultural commons, referencing work presented at the AI Impact Summit 2026, aligns with forthcoming research. The brief explores frameworks beyond traditional intellectual property for …
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MLSec and AI Governance Discussed on Data Culture Podcast
Two users on Mastodon shared that they were guests on the Data Culture podcast. During the podcast, they discussed various aspects of Machine Learning Security (MLSec), including topics like recursive pollution and data…
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AI industry transformation reshapes careers by 2026
The AI industry is undergoing a significant career transformation, with organizations increasingly adopting agentic AI, multi-agent systems, AI governance, and RAG pipelines. This shift is reshaping traditional career p…
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AI-Bridges Symposium to Explore Open Knowledge in LLM Era
The AI-BRIDGES Symposium is scheduled for May 28-29, 2026, in London, focusing on the role of open knowledge ecosystems in the era of large language models. The event will explore topics such as Wikidata, knowledge grap…
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AI's Unpredictable Progress Sparks Global Governance Debates
The rapid advancement of AI is raising questions about whether its progress is uncontrolled, prompting discussions on global alliances and AI governance. The unpredictable nature of AI development is juxtaposed with the…
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New framework pushes for co-creation in AI governance
A new framework called "Centering the Unheard" proposes moving beyond traditional consultation to a model of co-creation in public policy and AI governance. This approach emphasizes actively involving marginalized commu…
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AI governance study reveals deep, non-technical challenges
A recent study highlights fundamental challenges in AI governance that extend beyond technical solutions. The research suggests these issues are deeply rooted and may not be fully addressable through engineering alone. …
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AI safety verification methods insufficient for governance demands, paper argues
A new position paper argues that current methods for verifying AI safety claims are insufficient to meet the demands of recent governance frameworks. The paper highlights an "audit gap" where behavioral evaluations and …
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MATS opens AI safety fellowship with new tracks and funding
MATS Research is now accepting applications for its Autumn 2026 fellowship, a 10-week program focused on AI alignment, security, and governance. The fellowship, running from September 28 to December 5, 2026, offers a $5…
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AI governance needs to control product behavior, not just safety
AI governance discussions often focus on safety and compliance, but a new perspective emphasizes controlling the AI's product behavior. This behavioral governance approach aims to ensure an AI consistently acts as inten…
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The Economist highlights AI governance challenges and historical cooperation tools
The Economist's latest issue explores the challenges of AI governance, emphasizing the urgent need for policy development across various sectors like cybersecurity and biotechnology. It suggests that historical and inte…