Glen Weyl and James Evans propose 'reverse alignment' for AI-era institutions
Overview
Microsoft Research says researcher Glen Weyl and co-author James Evans propose "reverse alignment" in Science Magazine.
The approach uses neural networks as a model for reshaping institutions, which the authors argue could capture AI's benefits while managing its risks. The report, posted by Microsoft Research on X, is the only source so far, and it does not describe how the approach would be implemented.
Written by AI from the articles below · updated Nov 5, 8:45 PM ET
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Microsoft Research@MSFTResearchOfficialGlen Weyl and James Evans propose reverse alignment for AI-era institutionsAIMicrosoft researcher Glen Weyl and co-author James Evans explore "reverse alignment" in Science Magazine. The idea is that using neural networks as a model for reshaping institutions might capture AI's benefits while managing its risks.
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