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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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I would assume following the hype cycle. So not long ago you would be a web3 blockchain governance manager. Now you can be an AI governance manager. If you are just a run of the mill one, I wouldn’t expect much.
Try to stretch into program leads / roles in data management