Artificial Intelligence and Environmental Social Governance: An Exploratory Landscape of AI Toolkit

15 Pages Posted: 29 Nov 2023

See all articles by Nicola Cucari

Nicola Cucari

Sapienza University of Rome

Giulia Nevi

affiliation not provided to SSRN

Francesco Laviola

Sapienza University of Rome - Department of Management

Luca Barbagli

affiliation not provided to SSRN

Date Written: November 11, 2023

Abstract

The race to artificial intelligence (AI) and the opportunities it offers also finds use in the field of sustainable business action. This paper presents an initial mapping of AI tools supporting ESG pillars. Through the case study method, 32 companies and tools supporting environmental social governance (ESG) management were investigated, highlighting which of the different AI systems they use and enabling the design of the new AI-ESG ecosystem. The study, in addition to its usefulness in rearranging the current AI-ESG landscape, offers valuable support to companies committed to ESG goals and to institutional decision-makers engaged in the contemporary ESG agenda.

Keywords: ESG, AI, ESG toolkit, ESG ecosystem, AI landscape

JEL Classification: M10, M20,

Suggested Citation

Cucari, Nicola and Nevi, Giulia and Laviola, Francesco and Barbagli, Luca, Artificial Intelligence and Environmental Social Governance: An Exploratory Landscape of AI Toolkit (November 11, 2023). Available at SSRN: https://ssrn.com/abstract=4629933 or http://dx.doi.org/10.2139/ssrn.4629933

Nicola Cucari (Contact Author)

Sapienza University of Rome ( email )

Piazzale Aldo Moro 5
Roma, Rome 00185
Italy

Giulia Nevi

affiliation not provided to SSRN

Francesco Laviola

Sapienza University of Rome - Department of Management ( email )

Via del Castro Laurenziano, 9
Rome, 00161
Italy

Luca Barbagli

affiliation not provided to SSRN

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
218
Abstract Views
628
Rank
272,927
PlumX Metrics