Building Tomorrow: A Data and Automation-Driven Future for Social Equity

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Author(s): Chandrasekhar Rao Katru (Wells Fargo, 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.ch007

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

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Abstract

This chapter explores how data-driven technologies and automation can be leveraged to foster social equity in an increasingly interconnected world. By integrating artificial intelligence (AI), machine learning (ML), and data analytics, we can address systemic inequalities across sectors such as education, healthcare, and employment. The chapter delves into case studies where automation has bridged equity gaps, from predictive analytics in public policy to AI-driven tools for resource allocation. Challenges such as algorithmic bias, data accessibility, and ethical concerns are critically examined, alongside strategies to ensure inclusivity and fairness. The chapter concludes by envisioning a future where data and automation are key enablers of a more equitable society.

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Building Tomorrow: A Data and Automation-Driven Future for Social Equity

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