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October 10, 2025Journal of digital banking.0 citations

Leveraging artificial intelligence for ESG scoring and sustainable investment

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INIota-Kaousar NassrCRCaroline Roulet

Key Points

  • AI tools can enhance ESG scoring accuracy, leading to better investment decisions and outcomes.
  • Analysis showed significant differences in correlation coefficients based on time horizons, impacting ESG assessments.
  • Using AI algorithms for ESG analysis could bridge traditional methods and alternative real-time signals.
  • The findings underscore the need for further research into AI applications in sustainable investing strategies.

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/.

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Cite This Study

Nassr et al. (2025) studied this question.

synapsesocial.com/papers/68e8619c7ef2f04ca37e4467https://doi.org/10.69554/zxqo8557
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