How to Build an #AI Governance Framework for Identity
by Dustin Sachs @SCMagazine Learn more: https://
bit.ly/4frcLkC #AIAgents #CyberSecurity #InfoSec #IT #Tech #Technology
POLICY
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How to Build an AI Governance Framework for Identity
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Defending Anthropic using ToS vs training on all knowledge
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To everyone defending Anthropic by mentioning how things are against their ToS: Cry me a river they trained their models on the entirety of humanity's knowledge
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Stanford HAI and AI4MH explore responsible AI for youth mental health
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Last week, @StanfordHAI & AI4MH's 2026 symposium explored responsible AI adoption in mental health. CA Assembly Member @AsmMiaBonta stressed the need to protect youth as they turn to chatbots & other AI tools for mental health challenges. Full session https://
youtube.com/watch?v=KBZJYk
zqT0c
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Need for sustainable scaling and governance in AI self-improvement transition
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The critical transition is from teleop-trained to self-improving systems. Many organizations miss the need for sustainable scaling strategies to support this leap. It's not just about the technology, but the governance frameworks to manage 'dangerous, valuable' AI responsibly.
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Pew: One in five US teens get news from AI chatbots
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6/ Here is who is doing it. Pew found one in five US teens now get their news from ChatGPT, Claude, or Gemini. The people still forming their instincts about truth are handing those instincts to a model.
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Anthropic fears Mythos misuse, fails to explain safeguards
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Two things are true:
(1) Anthropic (or parts of it) are absolutely and sincerely worried about the misuse of Mythos-class models & have put in excessive safeguards until they are confident it will not be misused
(2) They have not succeeded in explaining/convincing people of this -
Shift from Isolated Security to Holistic AI Governance Frameworks
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The shift we're seeing is from isolated security measures to holistic governance frameworks. The real question isn't just ownership, but how to implement a unified strategy for AI security that integrates across all teams. Effective orchestration will be key to maintaining
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Open weights frontier models may cease due to regulation or corporate closure
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I honestly don't understand the assumption that there will be continued open weights models. At some point, China will regulate release of Mythos-class models or the companies making open weights models will switch to closed. There will still be open weights, just not frontier.
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Argument for continued open frontier models: profitability and safety
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Has anyone clearly laid out an argument for continued availability of frontier open weights models that are (1) profitable for firms to distribute free as costs rise & (2) safe enough post-Mythos that governments will not intervene to stop their nations labs from distributing?
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Sarcastic list of obstacles for land AI data centers
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Ah yes because engineering on land it's cost prohibitive because 1) you need to get an electricity grid hookup you won't get, 2) everyone's protesting against building AI data centers, 3) regulation blocks you from building new data centers