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Leveraging artificial intelligence for ESG scoring and sustainable investment

Author

Listed:
  • Nassr, Iota-Kaousar

    (Capital Markets and Financial Institutions Division, France)

  • Roulet, Caroline

    (Macroeconomic Policy and Research Division, France)

Abstract

This paper examines the use of innovative tools based on artificial intelligence (AI) for the assessment of environmental, social and governance (ESG) scores and the potential of alternative scoring to enhance sustainable investing. Despite numerous potential benefits, there is a lack of research on the application of AI algorithms in ESG analysis . This paper provides an in-depth statistical analysis on utilising AI tools for ESG scoring and compares their outcomes with conventional scoring methods. Based on variations in correlation coefficients over shorter versus longer time horizons for the same sample, the analysis suggests that AI-supported integration of traditional and alternative real-time signals could lead to more informed ESG assessment and decision making. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Suggested Citation

  • Nassr, Iota-Kaousar & Roulet, Caroline, 2025. "Leveraging artificial intelligence for ESG scoring and sustainable investment," Journal of Digital Banking, Henry Stewart Publications, vol. 10(2), pages 152-169, September.
    • Handle: RePEc:aza:jdb000:y:2025:v:10:i:2:p:152-169
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    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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