Convergence of Artificial Intelligence and Self-Sustainability-Reference-Cited by-同舟云学术

Convergence of Artificial Intelligence and Self-Sustainability

Published:2024-03-18 Issue: Volume: Page:107-140
ISSN:2327-3453
Container-title:Advances in Systems Analysis, Software Engineering, and High Performance Computing
language:
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Author:

Pitchai R.¹^ORCID,Tiwari Shiv Kant²,Kumari R. Krishna³^ORCID,Janaki K.⁴,Patro Pramoda⁵,Murugan S.⁶

Affiliation:

1. Department of Computer Science and Engineering, B.V. Raju Institute of Technology, India

2. Institute of Business Management, GLA University, India

3. College of Engineering and Technology, SRM Institute of Science and Technology, India

4. Department of Mathematics, Saveetha Engineering College, India

5. Department of Mathematics, Koneru Lakshmaiah Education Foundation, India

6. Nana College of Technology, India

Abstract

This chapter explores the convergence of artificial intelligence (AI) and self-sustainability while emphasizing the ethical considerations and social implications inherent in this dynamic intersection. It examines the intricate balance between technological progress and ecological responsibility, the need for equitable access to AI-powered sustainability solutions, and the profound impact of AI automation on traditional industries. The chapter also addresses the importance of reskilling and upskilling for sustainable employment, outlines policies and strategies for a just transition, and delves into responsible AI development and governance. Furthermore, it underscores the significance of inclusivity and stakeholder engagement in shaping AI and sustainability policies that prioritize fairness, equity, and the well-being of all.

Publisher

IGI Global

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