Using AI to screen, search, and structure environmental, social, and governance data

Abstract

Investors face at least two challenges when making environmental, social, and governance (ESG) decisions. One is the discrepancy in definitions, scoring methodologies, and assessments. The second one is the dearth of timely and accurate data. Terence Tse, Marissa Lum, Danny Goh and Mark Esposito write that AI carries the promise to provide an immediate solution to mitigate the data problem

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