AI Safety Fundamentals

BlueDot Impact
  • 5.0 (1)
  • TECHNOLOGY
  • UPDATED DAILY

Listen to resources from the AI Safety Fundamentals courses!https://aisafetyfundamentals.com/

  1. 29 SEPT

    AI and Leviathan: Part I

    By Samuel Hammond Source: https://www.secondbest.ca/p/ai-and-leviathan-part-i A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    15 min

  2. 19 SEPT

    d/acc: One Year Later

    By Vitalik Buterin Ethereum 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.html A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    43 min

  3. 18 SEPT

    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.html A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    20 min

  4. 18 SEPT

    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/2407.17347 A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    10 min

  5. 18 SEPT

    Introduction to AI Control

    By Sarah Hastings-Woodhouse AI 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-control A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    10 min

  6. 18 SEPT

    Resilience and Adaptation to Advanced AI

    By Jamie Bernardi Jamie Bernardi argues that we can't rely solely on model safeguards to ensure AI safety. Instead, he proposes "AI resilience": building society's capacity to detect misuse, defend against harmful AI applications, and reduce the damage caused when dangerous AI capabilities spread beyond a government or company's control. Source: https://airesilience.substack.com/p/resilience-and-adaptation-to-advanced?utm_source=bluedot-impact A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    14 min

  7. 18 SEPT

    The Project: Situational Awareness

    By Leopold Aschenbrenner A former OpenAI researcher argues that private AI companies cannot safely develop superintelligence due to security vulnerabilities and competitive pressures that override safety. He argues that a government-led 'AGI Project' is inevitable and necessary to prevent adversaries stealing the AI systems, or losing human control over the technology. Source: https://situational-awareness.ai/the-project/?utm_source=bluedot-impact A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    32 min

  8. 18 SEPT

    Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

    By Yoshua Bengio et al. This paper argues that building generalist AI agents poses catastrophic risks, from misuse by bad actors to a potential loss of human control. As an alternative, the authors propose “Scientist AI,” a non-agentic system designed to explain the world through theory generation and question-answering rather than acting in it. They suggest this path could accelerate scientific progress, including in AI safety, while avoiding the dangers of agency-driven AI. Source: https://arxiv.org/pdf/2502.15657 A podcast by BlueDot Impact. Learn more on the AI Safety Fundamentals website.

    21 min
See All (173)

About

Listen to resources from the AI Safety Fundamentals courses!https://aisafetyfundamentals.com/

Information

  • Creator
    BlueDot Impact
  • Years Active
    2023 - 2025
  • Episodes
    173
  • Rating
    Clean
  • Copyright
    © 2025 AI Safety Fundamentals
  • Show Website
    AI Safety Fundamentals

You Might Also Like