I gave a short high-level overview talk about the intersection between economics and AI safety last week. Here are some highlights and musings, and the actual slides in the end The audience was quite diverse ranging from technical to social science and advocacy / activism.
I spend a lot time thinking about how to find a common denominator to get everyone's interest and clarify significance. Decided to go the philosophy/abstraction route

Update from DallE/gemini using claudes prompts
"1. Intent before Implementation We clearly define what we want—the inputs, outputs, success criteria, and context—without initially binding ourselves to specific implementations. Our clarity of intent is our strength."
2. Structured Clarity
We rely on structured declarations—typed interfaces, explicit task descriptions, and measurable outcomes. Ambiguity in definition is the enemy of effective systems.

I just watched this talk and let me tell you.

If you are an economists following me due to interest in the intersection between Computer Science and Econ, you just have to listen to this talk at least

https://twitter.com/alvaroortiz1968/status/1876353942751179141

This is an absolutely amazing birds eye view on what is actually happening to your discipline right now and will continue to happen.
What always was missing for me was familiarity with formal econ tools. A wonderful contrast to start with, causal vs prediction
@edenhofer_jacob