People who want to improve the trajectory of AI sometimes think their options for object-level work are (i) technical safety work and (ii) non-technical governance work. But that list misses things; another group of arguably promising options is technical work in AI governance, i.e. technical work that mainly boosts AI governance interventions. This post provides a brief overview of some ways to do this work—what they are, why they might be valuable, and what you can do if you’re interested. I discuss:Engineering technical levers to make AI coordination/regulation enforceable (through hardware engineering, software/ML engineering, and heat/electromagnetism-related engineering)Information securityForecasting AI developmentTechnical standards developmentGrantmaking or management to get others to do the above wellAdvising on the aboveOther workSource:https://aisafetyfundamentals.com/governance-blog/ai-governance-needs-technical-workNarrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.---A podcast by BlueDot Impact.Learn more on the AI Safety Fundamentals website.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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