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AI Safety Fundamentals

BlueDot Impact
AI Safety Fundamentals
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  • AI and Leviathan: Part I
    By Samuel HammondSource: https://www.secondbest.ca/p/ai-and-leviathan-part-iA podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
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  • d/acc: One Year Later
    By Vitalik ButerinEthereum founder Vitalik Buterin describes how democratic, defensive and decentralised technologies could distribute AI's power across society rather than concentrating it, offering a middle path between unchecked technical acceleration and authoritarian control.Source:https://vitalik.eth.limo/general/2025/01/05/dacc2.htmlA podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
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  • A Playbook for Securing AI Model Weights
    By Sella Nevo et al.In this report, RAND researchers identify real-world attack methods that malicious actors could use to steal AI model weights. They propose a five-level security framework that AI companies could implement to defend against different threats, from amateur hackers to nation-state operations.Source:https://www.rand.org/pubs/research_briefs/RBA2849-1.htmlA podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
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  • AI Emergency Preparedness: Examining the Federal Government's Ability to Detect and Respond to AI-Related National Security Threats
    By Akash Wasil et al.This paper uses scenario planning to show how governments could prepare for AI emergencies. The authors examine three plausible disasters: losing control of AI, AI model theft, and bioweapon creation. They then expose gaps in current preparedness systems, and propose specific government reforms including embedding auditors inside AI companies and creating emergency response units.Source:https://arxiv.org/pdf/2407.17347A podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
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  • Introduction to AI Control
    By Sarah Hastings-WoodhouseAI Control is a research agenda that aims to prevent misaligned AI systems from causing harm. It is different from AI alignment, which aims to ensure that systems act in the best interests of their users. Put simply, aligned AIs do not want to harm humans, whereas controlled AIs can't harm humans, even if they want to.Source:https://bluedot.org/blog/ai-controlA podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.
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