Exploring Paths to Contribute to AI Governance

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 security
• Forecasting AI development
• Technical standards development
• Grantmaking or management to get others to do the above well
• Advising on the above
• Other work

Source:

https://aisafetyfundamentals.com/governance-blog/ai-governance-needs-technical-work

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

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