Artificial intelligence for sustainability: innovations in business and financial services
Material type:
- 9783031499784
- 006.3 WAL
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 006.3 WAL (Browse shelf(Opens below)) | 1 | Available | 008568 |
Table of contents:
Artificial Intelligence for Sustainability: An Overview
Thomas Walker, Stefan Wendt, Sherif Goubran, Tyler Schwartz
Pages 1-10
AI and Sustainable Industry Applications
Front Matter
Pages 11-11
Download chapter PDF
Fast Fashion’s Fate: Artificial Intelligence, Sustainability, and the Apparel Industry
Andreas Kaplan
Pages 13-30
Artificial Intelligence and the Global Automotive Industry
Tarek H. Selim, Mostafa Gad-El-Rab
Pages 31-53
The Emergence of the Nighttime Artificial Intelligence-Robot-Driven Economy
Steve Lee, Won-Yong Oh, Irene Yi
Pages 55-79
AI and Sustainable Business Operations
Front Matter
Pages 81-81
Download chapter PDF
Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a More Ethical Future
Lukasz Swiatek
Pages 83-103
Predictive Machine Learning in Assessing Materiality: The Global Reporting Initiative Standard and Beyond
Jan Svanberg, Peter Öhman, Isak Samsten, Presha Neidermeyer, Tarek Rana, Natalia Berg
Pages 105-131
Artificial Intelligence and the Food Value Chain
Stefan Wendt, Throstur Olaf Sigurjonsson
Pages 133-150
The Role of AI in Sustainable Development and the 2030 Agenda
Front Matter
Pages 151-151
Download chapter PDF
Analysis of Smart Meter Data for Energy Waste Management
Djordje Batic, Lina Stankovic, Vladimir Stankovic
Pages 153-173
Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy
Maria Cristiana Tudor, Lucia Gomez, Camilla Della Giovampaola, Hubert Halopé, Giuseppe Ugazio
Pages 175-206
The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions
Robert Brian Smith, Mark Perry, Darryl Robert Smith
Pages 207-228
[Artificial Intelligence for Sustainability: An Overview
Thomas Walker, Stefan Wendt, Sherif Goubran, Tyler Schwartz
Pages 1-10
AI and Sustainable Industry Applications
Front Matter
Pages 11-11
Download chapter PDF
Fast Fashion’s Fate: Artificial Intelligence, Sustainability, and the Apparel Industry
Andreas Kaplan
Pages 13-30
Artificial Intelligence and the Global Automotive Industry
Tarek H. Selim, Mostafa Gad-El-Rab
Pages 31-53
The Emergence of the Nighttime Artificial Intelligence-Robot-Driven Economy
Steve Lee, Won-Yong Oh, Irene Yi
Pages 55-79
AI and Sustainable Business Operations
Front Matter
Pages 81-81
Download chapter PDF
Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a More Ethical Future
Lukasz Swiatek
Pages 83-103
Predictive Machine Learning in Assessing Materiality: The Global Reporting Initiative Standard and Beyond
Jan Svanberg, Peter Öhman, Isak Samsten, Presha Neidermeyer, Tarek Rana, Natalia Berg
Pages 105-131
Artificial Intelligence and the Food Value Chain
Stefan Wendt, Throstur Olaf Sigurjonsson
Pages 133-150
The Role of AI in Sustainable Development and the 2030 Agenda
Front Matter
Pages 151-151
Download chapter PDF
Analysis of Smart Meter Data for Energy Waste Management
Djordje Batic, Lina Stankovic, Vladimir Stankovic
Pages 153-173
Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy
Maria Cristiana Tudor, Lucia Gomez, Camilla Della Giovampaola, Hubert Halopé, Giuseppe Ugazio
Pages 175-206
The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions
Robert Brian Smith, Mark Perry, Darryl Robert Smith
Pages 207-228
[https://link.springer.com/book/10.1007/978-3-031-49979-1]
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.
(https://link.springer.com/book/10.1007/978-3-031-49979-1)
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