Abstract

Artificial intelligence (AI) for sustainable finance has been increasingly employed over the past several years to address the sustainable development goals (SDGs). Two major approaches have emerged: institutional and societal AI for sustainable finance. Broadly described, institutional AI for sustainable finance is used for activities such as environmental, social and governance (ESG) investing, while societal AI for sustainable finance is used to support underbanked and unbanked individuals through financial inclusion initiatives. Despite the growing reliance on such digital tools, particularly during the coronavirus disease 2019 (COVID-19) pandemic, governance mechanisms and regulatory frameworks remain fragmented and underutilized or inhibit progress toward the 17 UN SDGs. While major proposals and reports were released by standard-setting and regulatory bodies leading up to 2020, the COVID-19 pandemic indeed caused major setbacks to adoption and implementation, which in turn have also resulted in inconclusive data and lessons learned. As the global community begins to navigate out of the pandemic, policy makers, through multilateral and cross-sector agreements, are looking to renew governance mechanisms that mitigate new and pre-existing risks while cultivating sustainability and facilitating innovation.