Is this topic (learning Econ creates AI forecasting blindspots) perhaps a narrow view of a larger problem; some sort of dunning-Kruger "peak of mt stupid"; where econ classes touch enough on AI forecasting that students gain overconfidence?
I'd predict that any curriculum that encompasses some sort of AI forecasting, but which does not have it as a primary focus, ends up with the same forecasting blindspots/problems. As an anecdote, I've seen lots of youtube computer coders use their authority as excellent human programmers to overconfidently state that their job is totally secure and their knowledge of deep programming practices leads them to believe that they can treat AI-powered-coding as a paradigm shift only on the scale of a new IDE or code library.
It's interesting to see the specific breakdown of how it happens to Econ , if anyone has relevent examples for other fields (Law maybe?) I'd be curious to see if they also fall prey to the same problems.
Is this topic (learning Econ creates AI forecasting blindspots) perhaps a narrow view of a larger problem; some sort of dunning-Kruger "peak of mt stupid"; where econ classes touch enough on AI forecasting that students gain overconfidence?
I'd predict that any curriculum that encompasses some sort of AI forecasting, but which does not have it as a primary focus, ends up with the same forecasting blindspots/problems. As an anecdote, I've seen lots of youtube computer coders use their authority as excellent human programmers to overconfidently state that their job is totally secure and their knowledge of deep programming practices leads them to believe that they can treat AI-powered-coding as a paradigm shift only on the scale of a new IDE or code library.
It's interesting to see the specific breakdown of how it happens to Econ , if anyone has relevent examples for other fields (Law maybe?) I'd be curious to see if they also fall prey to the same problems.