Artificial Intelligence-Enhanced Software and Systems Engineering

Nayak, Sarat Chandra; Dehuri, Satchidananda; Cho, Sung-Bae; Favorskaya, Margarita

This proceeding book explores emerging field of Green AI, which emphasizes innovations to make AI more environmentally sustainable. Green AI seeks to mitigate the environmental impact of AI technologies by streamlining algorithms, enhancing hardware efficiency, and adopting eco-friendly data management practices—all while maintaining the high performance that modern AI systems promise. It addresses the challenges and opportunities associated with reducing AI’s energy consumption, lowering carbon emissions, and promoting ethical and responsible AI practices. The book insights into the development of energy-efficient algorithms by design (Green-in-AI) as well as algorithms specifically created to tackle environmental challenges (Green-by-AI). It highlights the potential of Green AI in fostering a more sustainable technological future, which inspires researchers, engineers, and innovators to pursue ideas and solutions that balance technological advancement with environmental stewardship.

Details

Published by: Springer

Publication Date: 2025-10-02

Format: Hardcover

ISBN-13: 9783031998812

DOI: 10.1007/978-3-031-99882-9

Dimensions: 235cm x155cm

Pages: 416