Effect of AI on CSR and ESG Ethics

Integrating Artificial Intelligence (AI) into business operations has brought about transformative changes, potentially reshaping industries and improving efficiencies. However, this technological advancement also presents new ethical challenges, particularly concerning Environmental, Social, and Governance (ESG) principles. As businesses increasingly adopt AI, balancing innovation with ethical responsibility becomes crucial. This paper explores the intersection of AI, CSR, ESG, and business ethics, emphasizing how AI can enhance sustainability, social equity, and governance standards. It examines the potential risks, such as algorithmic bias, data privacy concerns, and environmental impacts of AI infrastructure. It discusses strategies for mitigating these risks through ethical AI design, transparent governance structures, and adherence to ESG guidelines. Ultimately, the paper argues for the development of frameworks that ensure AI technologies contribute positively to societal well-being while aligning with the core values of corporate responsibility, ESG, and sustainability.

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Publication Details

Journal
Journal of Finance Issues
Published
2025-09-17
DOI
https://doi.org/10.58886/jfi.v23i2.9437
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
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article

Effect of AI on CSR and ESG Ethics

Hoje Jo
Journal of Finance Issues
Corporate Social Responsibility Reporting
article

Effect of AI on CSR and ESG Ethics

Hoje Jo
article en

Abstract

Integrating Artificial Intelligence (AI) into business operations has brought about transformative changes, potentially reshaping industries and improving efficiencies. However, this technological advancement also presents new ethical challenges, particularly concerning Environmental, Social, and Governance (ESG) principles. As businesses increasingly adopt AI, balancing innovation with ethical responsibility becomes crucial. This paper explores the intersection of AI, CSR, ESG, and business ethics, emphasizing how AI can enhance sustainability, social equity, and governance standards. It examines the potential risks, such as algorithmic bias, data privacy concerns, and environmental impacts of AI infrastructure. It discusses strategies for mitigating these risks through ethical AI design, transparent governance structures, and adherence to ESG guidelines. Ultimately, the paper argues for the development of frameworks that ensure AI technologies contribute positively to societal well-being while aligning with the core values of corporate responsibility, ESG, and sustainability.

Journal of Finance IssuesVol. 23(2)
Santa Clara University (US)
Openalex Percentile: Top 63%
Corporate Social Responsibility Reporting
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