ArticleFrontiers in artificial intelligence2025
Sustainable artificial intelligence in finance: impact of ESG factors.
Article in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Artificial Intelligence in Nursing Education: A Bibliometric Analysis.Nursing research and practice · 2026Article
- Algorithmic governance at work: a legal-sociological and policy analysis of AI regulation, institutional power and labor rights.Frontiers in sociology · 2026Article
- Editorial: Smart forecasting: deep learning and explainable AI for real-world time series prediction.Frontiers in big data · 2026Article
- FinTextSim: a domain-specific sentence-transformer for extracting predictive latent topics from financial disclosures.Frontiers in artificial intelligence · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a growing concern about the sustainability of artificial intelligence, in terms of Environmental, Social and Governance (ESG) factors. We contribute to the debate measuring the impact of ESG factors on one of the most relevant applications of AI in finance: credit rating. There is not yet conclusive evidence on whether EGS factors impact on credit rating. In this paper, we propose several machine learning models to measure such impact, and a set of metrics that can improve their ability to do so. In this way, machine learning models and, more generally, decisions based on artificial intelligence, can become more sustainable.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.