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The role of Artificial Intelligence in ESG reporting: improving accuracy and transparency

Authors: Mosaferi, Armin;

The role of Artificial Intelligence in ESG reporting: improving accuracy and transparency

Abstract

This master thesis explores the integration of Artificial Intelligence (AI) in Environmental, Social, and Governance (ESG) reporting, focusing on its potential to enhance the accuracy, transparency, and efficiency of ESG disclosures. It investigates how AI can transform ESG reporting from a reactive to a proactive tool, enabling companies to better assess and mitigate ESG-related risks. The study examines the perceptions of industry professionals regarding AI's role in ESG, considering factors such as age, education, and professional background. It highlights the significant impact AI can have on sectors like finance, energy, and healthcare, while addressing challenges and ethical concerns. The findings suggest that AI can be a powerful enabler of ESG transparency, but its adoption requires sector-specific adaptations and careful ethical considerations. Future research is recommended to explore long-term effects and deeper ethical issues in AI-driven ESG reporting.

Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura

Objectius de Desenvolupament Sostenible::16 - Pau, Justícia i Institucions Sòlides

Country
Spain
Related Organizations
Keywords

Sostenibilitat, Intel·ligència artificial, Sustainable investment, ESG reporting, Social responsibility, Transparency, Corporate accountability, Environmental impact, Complian, Sustainability, Financial performance, Artificial Intelligence, AI, Regulatory expectations, Governance standards, Medi ambient--Anàlisi d'impacte, Impact investing, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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