governance

SAFi is a soon-to-be-released free, open-source governance system for AI Agents in regulated industries, designed to be easily deployed as a complete appliance with no need for additional development tools.

The article discusses the ease of building no-code AI agents and raises questions about implementing guardrails and governance in production environments to prevent errors.

The paper reviews failure modes and mitigation strategies for trustworthy agentic AI systems based on LLMs, and introduces the Trustworthy Agent Development Lifecycle (TADL) framework for secure development.

The article describes deploying an AI text-to-sql system for a bank, highlighting that the model was less important than verification mechanisms, evaluation sets, and governance rules for production success.

Eric Schmidt affirms that AI progress will not be paused, emphasizing that high-risk AI proposals are being rejected to address safety concerns.

Massachusetts Governor emphasizes the need for swift action on AI safety, urging strong protections at the state level and calling for Washington to implement similar measures.

Zuckerberg advocates for AI labs to handle their own safety, pointing to Meta's Muse delay as evidence, while sparking debate on AI agent deployment and the necessity for governance.

The article explores whether AI agents should be allowed to express uncertainty, such as saying 'I don't know', in their actions and governance, emphasizing the value of honest communication over forced classification.

The article examines the AI safety debate, questioning whether it focuses on actual safety or control, and highlights opinions from executives like Dario Amodei and Mark Zuckerberg on industry self-regulation versus government oversight.

This article explores how AI choices today shape future human rights, using the Dutch SyRI risk profiling system as a case study where efficiency and optimization led to privacy violations and human rights issues.

Opal Zero is an AI-driven access governance platform that grants just-in-time, task-scoped access to AI agents to mitigate permission bottlenecks in scaling teams.

The EU expert report argues that AI is already impacting society in areas like work, healthcare, and media, emphasizing the need for cross-disciplinary governance and public interest design to ensure benefits are widespread and risks are mitigated.

SAGE is a governed multi-stage LLM pipeline that automates the conversion of enterprise guideline documents into structured artifacts, reducing manual effort from days to minutes with a 96% success rate and low hallucination.

Google DeepMind launches the DeepMind Institute to address AGI's technical and societal implications through interdisciplinary research on safety, governance, and human values.

This narrative review examines ethical and privacy risks in LLM-enabled GeoAI, identifying key issues and proposing a governance-aware architecture with enforceable controls.

This review paper examines the capabilities of artificial intelligence in biological research and the associated biosecurity risks, advocating for defense-in-depth governance to mitigate threats while preserving beneficial uses.

The article advocates for robust whistleblower protections to address AI risks and emphasizes serious investment in AI alignment and security against AI-enabled state attackers.

OpenController by lyzr is a unified control plane for governing AI agents across various platforms, offering deployment, real-time monitoring, and policy enforcement.

AI labs have agreed to slow down development, sparking debate about governance and control in the AI industry. The content questions whether this is a genuine move or mere public relations.

This essay analyzes loss-of-control incidents at AI companies to bridge cybersecurity and AI safety communities, proposing that organizational governance and marginal investments in AI control over alignment are more effective for improving safety and pacing the frontier.