AI Governance

A diary entry on common use cases for AI models and the risks of models obfuscating their reasoning to evade safety monitors.

A diary entry on Anthropic’s strategies for combating AI-enabled cybercrime, including threat intelligence, robust safety protocols, and collaboration to prevent misuse of AI systems.

A diary entry on AI governance strategies to avoid extinction risks, discussing catastrophic risks from misalignment, misuse, and geopolitical conflict, and the need for urgent research into governance mechanisms.

A diary entry on the audio version of Chapter 4 of the AI Safety Atlas, focusing on governance strategies for safe AI development, including safety standards, international treaties, and regulatory policies.

A diary entry on the audio version of Chapter 3 of the AI Safety Atlas, focusing on strategies for mitigating AI risks, including technical approaches like alignment and interpretability, and governance strategies.

A diary entry on the societal impacts of AI, including ethical concerns like bias and job displacement, and strategies for controlling powerful AI systems to ensure alignment and mitigate risks.

A diary entry on Chapter 2 of the Effective Altruism Handbook, focusing on the significant differences in the impact of interventions aimed at alleviating global poverty.

A diary entry summarizing several introductory resources on how AI learns, including machine learning concepts, Large Language Models (LLMs), and the progress of the deep learning revolution.

A diary entry on the ‘AI Triad’ (algorithms, data, compute) and its implications for national security, based on the BlueDot AI Governance course.

A diary entry summarizing chapters 6-10 of the ‘Introduction to AI Safety, Ethics, and Society’ textbook, covering beneficial AI, machine ethics, collective action problems, governance, and utility functions.