Buch, Englisch, 240 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 513 g
Buch, Englisch, 240 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 513 g
ISBN: 978-1-032-99920-3
Verlag: Taylor & Francis
This book examines the applications of artificial intelligence (AI) in optimizing environmental management, mitigating carbon footprints, and accelerating the transition to a sustainable low-carbon economy.
Progressing from discussion of fundamental concepts to specific applications of AI in various sectors, this book highlights how AI can assist companies and sectors in achieving internationally transferable mitigation outcomes (ITMO) and complying with environmental, social, and governance (ESG) criteria. Sectors and applications discussed include e-commerce, finance, urban planning and conservation, among others. The book also addresses the ethical considerations and challenges of deploying AI technology and the need for robust regulatory frameworks.
Cutting across the disciplines of technology, engineering, and social sciences, this book will interest a broad range of researchers including those focused on sustainable development, ESG and net zero transition.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Biowissenschaften Biowissenschaften, Biologie: Sachbuch, Naturführer
- Geowissenschaften Umweltwissenschaften Umweltschutz, Umwelterhaltung
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Abfallwirtschaft, Abfallentsorgung
- Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
- Geowissenschaften Umweltwissenschaften Abfallbeseitigung, Abfallentsorgung
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Energie- und Umweltmanagement
- Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
Weitere Infos & Material
1. AI, carbon markets and international transferable mitigation outcomes: An introduction
2. AI in environmental monitoring and waste management
3. AI for biodiversity conservation
4. Regenerative agriculture and Nature-Based solutions for soil carbon sequestration: Building up value chain knowledge graphs for AI
5. AI-Enhanced Tokenization of Carbon Footprint and ESG Metrics for Net-Zero Transitions
6. AI-Driven investment decisions and risk analysis in Net-Zero transitions
7. Smart Cities and Sustainability
8. Regulatory Challenges and Net Zero Transition in the Hospitality Industry: The Role of AI
9. AI’s role in consumer behaviour and public engagement for sustainability
10. Digital transformation beyond the buy button: Unpacking AI’s role in modern E-commerce ecosystems




