The Road Ahead: AI and Data Science as Pillars for Sustainable Equity

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Author(s): Abhishek Trehan (JPMorgan Chase & Co., USA)
Copyright: 2025
Pages: 16
Source title: Advancing Social Equity Through Accessible Green Innovation
Source Author(s)/Editor(s): P. William (Sanjivani College of Engineering, India)and Shrikaant Kulkarni (Sanjivani University, India & Victorian Institute of Technology, Australia)
DOI: 10.4018/979-8-3693-9471-7.ch026

Keywords: Civic Engagement & Social Justice / Engineering Science Reference / Environmental Science and Technologies / Social Sciences & Humanities

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Abstract

The integration of Artificial Intelligence (AI) and Data Science into societal frameworks holds transformative potential for promoting sustainable equity across various sectors. This paper explores the critical role of AI and Data Science in fostering equitable solutions to environmental, economic, and social challenges. It discusses the importance of leveraging AI to address disparities in resource allocation, healthcare, education, and access to technology. By examining ethical frameworks, data-driven decision-making processes, and the need for inclusivity in AI systems, the paper outlines how these technologies can bridge gaps in social equity while contributing to long-term sustainability goals. Furthermore, the paper highlights the significance of collaborative efforts between governments, industries, and communities to ensure that AI and Data Science contribute positively to a more just and sustainable future.

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The Road Ahead: AI and Data Science as Pillars for Sustainable Equity

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