This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN's Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.
It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies - from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy-the book demonstrates XAI's transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.
This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.
| ISBN: | 9781032985435 |
| Publication date: | 30th September 2025 |
| Author: | Ewa Ziemba, Wioletta Grzenda, Michal Ramsza |
| Publisher: | Routledge an imprint of Taylor & Francis |
| Format: | Hardback |
| Pagination: | 330 pages |
| Series: | Routledge Research in Sustainability and Business |
| Genres: |
Artificial intelligence Automatic control engineering Business and the environment; ‘green’ approaches to business Environmental management Engineering: general Computer-aided design (CAD) Library and information sciences / Museology Information technology: general topics |
This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN's Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.
It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies - from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy-the book demonstrates XAI's transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.
This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.
Explainable Artificial Intelligence for Sustainable Development features in the following genres: Artificial intelligence, Automatic control engineering, Business and the environment; ‘green’ approaches to business, Environmental management, Engineering: general, Computer-aided design (CAD), Library and information sciences / Museology, Information technology: general topics
Explainable Artificial Intelligence for Sustainable Development is available in Hardback
Explainable Artificial Intelligence for Sustainable Development was written by Ewa Ziemba, Wioletta Grzenda, Michal Ramsza and published by Routledge an imprint of Taylor & Francis
Explainable Artificial Intelligence for Sustainable Development has 330 pages
Yes it is part of Routledge Research in Sustainability and Business series
£139.50