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ai-governance (6)
ai-safety (6)
ai-policy (5)
ai-regulation (5)
policy (5)
regulations (4)
public-interest-ai (3)
transparency (3)
ai-ethics (2)
ai-risk (2)
gov (2)
research-policy (2)
cybersecurity (1)
international-relations (1)
open-source (1)
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New
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Federation of American Scientists
votes For
and says:
Support research into interpretability, robustness, control, and the preservation of monitorable AI reasoning.
AI Verified source (May 2026) -
Federation of American Scientists
votes For
and says:
Government needs trusted mechanisms for model access, evaluation partnerships, and incident reporting that protect sensitive commercial and national-security information while giving agencies enough visibility to act.
Unverifiable source (May 2026) -
Federation of American Scientists
votes For
and says:
Establish structured, trusted information-sharing mechanisms with frontier AI developers to improve situational awareness of emerging risks, enable incident reporting, and support clearer communication between industry and government.
AI Verified source (Jan 1, 2026) -
Federation of American Scientists
votes For
and says:
Independent tripwire systems must halt activity if dangerous behavior is detected, and physically isolated “kill switches” must allow immediate shutdown outside of AI control.
AI Verified source (Jan 2026) -
Governments should fund open-source AI safety tools and red-teaming infrastructure as public goods.
62 opinions
Federation of American Scientists
votes For
and says:
Build government AI–cyber capacity and translation infrastructure. Strengthen government capacity to evaluate, oversee, and respond to AI-enabled cyber risks by investing in technical staffing, institutional authority, and translation functions [...]...
more AI Verified source (Jan 2026) -
Federation of American Scientists
votes For
and says:
Mandate or formalize AI model evaluation and disclosure for cyber risks. Establish requirements for structured, pre-deployment evaluations of frontier AI models focused on cyber-relevant risks, including misuse potential, autonomy, reliability over t...
more AI Verified source (Jan 2026)