CodyAlbert-EthicsNexusWhitePaperCodyAlbert-EthicsNexusWhitePaper.pdf1 MBdownload-circle The link above is a white paper I've been working on the past month. It proposes Ethics Nexus, an international collaborative AI safety research hub that addresses the critical imbalance between advancements in AI capabilities and high-risk safety research. Its mission is to systematically coordinate

Often, the control problem is conflated with the alignment problem. I think it’s important to define and distinguish between the two because it progresses the narrative in AI that advanced AI can be aligned, but cannot be controlled. Let’s take a closer look at what we ought to

The following is an examination of Anthropic's Responsible Scaling Policy (RSP), which was updated on October 15, 2024. Known for placing a higher priority on safety than other AI companies, Anthropic has developed what may be the most comprehensive approach toward scaling from which other actors can learn.

Of all the near-term risk posed by AI, CBRNs (Chemical, Biological, Radiological, and Nuclear hazards) appear to be the easiest to develop and thus highest near-term threat that we currently face from AI, especially regarding biological weapons. CBRN hazards regulations aim to eliminate the risk of AI-developed CBRNs. The US

I've been reflecting on concerns related to fast and slow superintelligence takeoff scenarios and our capacity (and incapacity) to maintain control during critical transitions in AI development. How quickly will AGI be able to self-improve itself until it reaches superintelligence? What are some, if any, roadblocks that require