Audio versions of blogs and papers from BlueDot courses.

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.

Audio versions of blogs and papers from BlueDot courses. 

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.

Audio versions of blogs and papers from BlueDot courses.

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.

Audio versions of blogs and papers from BlueDot courses.

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.

Audio versions of blogs and papers from BlueDot courses.

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.

Audio versions of blogs and papers from BlueDot courses.

By Luke Drago and Rudolf Laine

This section explores how the arrival of AGI could trigger an “intelligence curse,” where automation of all work removes incentives for states and companies to care about ordinary people. It frames the trillion-dollar race toward AGI as not just an economic shift, but a transformation in power dynamics and human relevance.

Source:

https://intelligence-curse.ai/?utm_source=bluedot-impact

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

By Kyle Hiebert

The global spread of large language models is heightening concerns that extremists could leverage AI to develop or deploy biological weapons. While some studies suggest chatbots only marginally improve bioterror capabilities compared to internet searches, other assessments show rapid year-on-year gains in AI systems’ ability to advise on acquiring and formulating deadly agents. Policymakers now face an urgent question: how real and imminent is the threat of AI-enabled bioterrorism?

Source:

https://www.cigionline.org/articles/ai-is-reviving-fears-around-bioterrorism-whats-the-real-risk/

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

By Bill Drexel and Caleb Withers

This report considers how rapid AI advancements could reshape biosecurity risks, from bioterrorism to engineered superviruses, and assesses which interventions are needed today. It situates these risks in the history of American biosecurity and offers recommendations for policymakers to curb catastrophic threats.

Source:

https://www.cnas.org/publications/reports/ai-and-the-evolution-of-biological-national-security-risks

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

By Luke Drago and Rudolf Laine

This piece explores key arguments from sections 3 and 4 of The Intelligence Curse, continuing the authors’ analysis of how increasing intelligence can create paradoxical disadvantages, tradeoffs, and coordination challenges.

Source:

https://intelligence-curse.ai/

A podcast by BlueDot Impact.

Audio versions of blogs and papers from BlueDot courses.

By Tomas Pueyo

This blog post traces AI's rapid leap from high school to PhD-level intelligence in just two years, examines whether physical bottlenecks like computing power can slow this acceleration, and argues that recent efficiency breakthroughs suggest we're approaching an intelligence explosion.

Source:
https://unchartedterritories.tomaspueyo.com/p/the-most-important-time-in-history-agi-asi

A podcast by BlueDot Impact.