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<p>Environmental, Social, and Governance (ESG) principles are critical for addressing global challenges and fostering sustainable practices. As Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors, integrating ESG into AI is essential to mitigate risks, align AI with societal goals, and support responsible investments. More specifically, viewing AI through an ESG lens empowers investors and organizations to manage impacts and guide sustainable AI development. Despite its significance, this area remains underexplored. To address this gap, we introduce the ESG-AI framework for investors, developed from insights with 28 companies. This framework offers a structured approach to assess AI’s material impacts, evaluate corporate commitments to responsible AI, and manage AI-related risks. By detailing its development and components, we demonstrate its applicability in advancing digital sustainability, guiding ethical AI investments, and supporting informed decision-making. This study highlights the framework’s value in aligning AI innovation with ESG principles for long-term societal and business benefits.</p>

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Integrating ESG and AI: a comprehensive responsible AI assessment framework

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月10日

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  • Sung Une Lee,
  • Harsha Perera,
  • Yue Liu,
  • Boming Xia,
  • Qinghua Lu,
  • Liming Zhu,
  • Jessica Cairns,
  • Moana Nottage

摘要

Environmental, Social, and Governance (ESG) principles are critical for addressing global challenges and fostering sustainable practices. As Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors, integrating ESG into AI is essential to mitigate risks, align AI with societal goals, and support responsible investments. More specifically, viewing AI through an ESG lens empowers investors and organizations to manage impacts and guide sustainable AI development. Despite its significance, this area remains underexplored. To address this gap, we introduce the ESG-AI framework for investors, developed from insights with 28 companies. This framework offers a structured approach to assess AI’s material impacts, evaluate corporate commitments to responsible AI, and manage AI-related risks. By detailing its development and components, we demonstrate its applicability in advancing digital sustainability, guiding ethical AI investments, and supporting informed decision-making. This study highlights the framework’s value in aligning AI innovation with ESG principles for long-term societal and business benefits.