NIST AI Risk Management Framework
PulseAugur coverage of NIST AI Risk Management Framework — every cluster mentioning NIST AI Risk Management Framework across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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New Evidence-Logged Agent Loop pattern enhances AI agent compliance
Enterprises deploying autonomous AI agents need a robust system for logging tool calls to ensure compliance and observability. Current ad-hoc logging methods create inconsistent audit trails, making it difficult to reco…
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AI's threat to democracy analyzed via principal-agent theory
A new paper proposes using principal-agent theory to systematically analyze the risks artificial intelligence poses to democratic processes. The research suggests that AI systems often act as delegated functions within …
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Mobile AI visibility is crucial for enterprise risk management
The cybersecurity industry has recognized the critical need for AI visibility, particularly concerning mobile devices which are increasingly becoming the primary attack surface. Traditional network-based security tools …
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Healthcare AI Governance Committees Fail to Scale, Experts Say
Central AI governance committees in healthcare are becoming bureaucratic bottlenecks, hindering the widespread adoption of AI technologies. These committees, intended to mitigate risks and ensure compliance with various…
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New LLM evaluation framework prioritizes privacy and accessibility
Researchers have developed LLM-FACETS, an open-source framework designed to make evaluating Large Language Models more accessible and privacy-preserving. The system features a browser-accessible interface and a plugin a…
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Google's Gemini Robotics-ER 1.6 tackles spatial logic and AI governance
Google's Gemini Robotics-ER 1.6 appears to address spatial logic challenges within AI systems. The development aligns with existing governance frameworks like the NIST AI Risk Management Framework and ISO/IEC 42001. The…
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Building Technology to Drive AI Governance
Researchers are developing new frameworks and tools to address the growing challenges in AI governance. One approach, the Agent Viability Framework, proposes an Informational Viability Principle for adaptive runtime gov…