Artificial Intelligence for Sustainability
Language: English
Published by Springer International Publishing AG, CH, 2024
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
In light of the climate crisis, businesses are expected to embrace sustainability to reduce their negative impacts on the environment and society, while at the same time strengthening their organisations' positive impacts. Managing this alongside the traditional requirements of business requires careful handling, and it is small wonder that some are heralding the advantages posed by artificial intelligence (AI) as the missing piece of the puzzle. This edited book aims to present a balanced discussion of the benefits and costs of using AI for the natural environment and society, including an analysis of its potential to help meet the UN's Agenda 2030 and the Sustainable Development Goals. Researchers, practitioners, regulators, and entrepreneurs at the forefront of sustainable AI solutions share insights into the different sustainable applications of AI and highlight how these new developments may affect and contribute to our fight against climate change and address further environmental and social challenges. This volume will be of great interest to scholars and students of digital business and new technologies, sustainability, and strategy.…
Seller Inventory # LU-9783031499784
- Title
- Artificial Intelligence for Sustainability
- Author
- Thomas Walker
- Publisher
- Springer International Publishing AG, CH
- Publication year
- 2024
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 3031499786
- ISBN 13
- 9783031499784
- Edition
- 2024 ed.
In light of the climate crisis, businesses are expected to embrace sustainability to reduce their negative impacts on the environment and society, while at the same time strengthening their organisations’ positive impacts. Managing this alongside the traditional requirements of business requires careful handling, and it is small wonder that some are heralding the advantages posed by artificial intelligence (AI) as the missing piece of the puzzle. This edited book aims to present a balanced discussion of the benefits and costs of using AI for the natural environment and society, including an analysis of its potential to help meet the UN’s Agenda 2030 and the Sustainable Development Goals. Researchers, practitioners, regulators, and entrepreneurs at the forefront of sustainable AI solutions share insights into the different sustainable applications of AI and highlight how these new developments may affect and contribute to our fight against climate change and address further environmental and social challenges. This volume will be of great interest to scholars and students of digital business and new technologies, sustainability, and strategy.
"Synopsis" may belong to another edition of this title.
About the Author
Thomas Walker is a Professor in the Department of Finance at the John Molson School of Business, Concordia University, Canada. His research interests are in emerging risk management, corporate finance, venture capital, sustainability and climate change, FinTech, corporate governance, securities regulation and litigation, insider trading, and institutional ownership, and he has published over 80 articles, book chapters, and edited books in these areas.
Stefan Wendt is a Professor and Dean in the Department of Business at Bifröst University in Iceland. His fields of research include corporate finance and governance, sustainability and ESG investing, risk management, FinTech and digitalization, financial markets and financial intermediation, small and medium-sized enterprises, and behavioural finance.
Sherif Goubran is an Assistant Professor at the Department of Architecture, School of Sciences and Engineering, at the American University in Cairo, Egypt. His work investigates the theory and practice of sustainability in buildings and future sustainable built environments. His research combines qualitative and quantitative methodologies and explores the shift from incremental to transformational design.
Tyler Schwartz is a Research Assistant at the John Molson School of Business, Concordia University, Canada. His research interests include predictive modelling, bio-statistics, sports analytics, sustainability, FinTech, and machine learning.
"About the title" may belong to another edition of this title.
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