AI- / Fintech-powered ESG screening and analysis solutions have become “strategic enablers” that can address some of the inherent ESG information biases and potentially even ESG rating divergences arising from corporate self-reporting, and annualised, backward looking reporting of information. Moreover, corporate disclosures can vary by region, with companies in developed economies in general disclosing more information than companies in emerging economies. In such cases, the “alternative data” is key to endeavour for capturing more information from these “black-box” companies for extra disclosures. Latest AI- and Fintech-led developments and innovation-centred collaboration efforts between regulators, standards setters, assurance, and innovation providers can provide a meaningful approach for ESG data complexity management.
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Artificial Intelligence and FinTech Technologies for ESG Data and Analysis
Semantic Scholar · Computer Science · 2021
Abstract
AI- / Fintech-powered ESG screening and analysis solutions have become “strategic enablers” that can address some of the inherent ESG information biases and potentially even ESG rating divergences arising from corporate self-reporting, and annualised, backward looking reporting of information. Moreover, corporate disclosures can vary by region, with companies in developed economies in general disclosing more information than companies in emerging economies. In such cases, the “alternative data” is key to endeavour for capturing more information from these “black-box” companies for extra disclosures. Latest AI- and Fintech-led developments and innovation-centred collaboration efforts between regulators, standards setters, assurance, and innovation providers can provide a meaningful approach for ESG data complexity management.