Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement

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Authors: Harsha Perera, Sung Une Lee, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage
Cited by: 1

Abstract

As Artificial Intelligence (AI) becomes integral to business operations, integrating Responsible AI (RAI) within Environmental, Social, and Governance (ESG) frameworks is essential for ethical and sustainable AI deployment. This study examines how leading companies align RAI with their ESG goals. Through interviews with 28 industry leaders, we identified a strong link between RAI and ESG practices. However, a significant gap exists between internal RAI policies and public disclosures, highlighting the need for greater board-level expertise, robust governance, and employee engagement. We provide key recommendations to strengthen RAI strategies, focusing on transparency, cross-functional collaboration, and seamless integration into existing ESG frameworks.

Fields of Study & Subjects

Economic and Technological Innovation Digital Transformation in Industry

Publication details

Journal / source
IEEE Software
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Pages
1–10
Publication date
1 January 2026
Language
EN