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AI Governance

93 summarised stories about AI Governance, each linking back to the original source. Browse all topics →

Thursday, 9 July 2026

How did the government decide OpenAI’s frontier model was safe to release?

CSET Georgetown 6 days ago

A CSET researcher discussed the lack of transparency around how the U.S. government evaluates and approves public releases of advanced AI models from companies like OpenAI and Anthropic. No specific details about the government's approval criteria or process have been made public, though Anthropic mentioned developing classifiers to detect jailbreak attempts and implementing defense-in-depth strategies. The opaque nature of these reviews raises questions about whether current safeguards adequately protect against risks from frontier models.

Own the Outer Loop

TLDR 1 week ago

Engineers are responsible for maintaining oversight of AI systems across multiple control loops, with humans required to validate and justify agent actions. The four critical loops requiring human involvement are the constraints loop, sampling loop, audit loop, and ownership loop. This distributed accountability model ensures that AI systems remain subject to human review rather than operating autonomously without justification mechanisms.