Leveraging Machine Learning for Equitable Green Innovation

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Author(s): Anantharaman Janakiraman (Independent Researcher, USA)
Copyright: 2025
Pages: 22
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.ch022

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

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Abstract

This chapter explores the intersection of machine learning (ML) and equitable green innovation, emphasizing how advanced computational methods can drive sustainable solutions while ensuring fairness and inclusivity. It examines the role of ML in optimizing environmental practices, from energy efficiency to resource management, while addressing the social and economic disparities that often accompany environmental initiatives. By integrating ML techniques into green technologies, the chapter highlights how these innovations can be designed and implemented to benefit marginalized communities, reduce inequalities, and promote a just transition to a greener economy. Through case studies and theoretical insights, the chapter provides a framework for fostering both technological and social sustainability.

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