Artificial Intelligence for Sustainable Finance: Why it May Help?
AI and machine learning have generated a new type of ESG data that is not solely reliant on company-provided information. This paper explores AI’s application in ESG, including text analysis for measuring ESG events and verifying commitments, satellite and sensor data for analyzing environmental impact and risk exposure, and machine learning for filling data gaps, such as GHG emissions. Challenges related to transparency, manipulation risks, and costs associated with these new data and tools are also discussed.
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●Artificial Intelligence for Sustainable Finance: Why it May Help
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