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As artificial intelligence transforms the world and sustainability becomes increasingly urgent, understanding their intersection is critical for researchers, industry leaders, and policymakers. This volume brings together international scholars exploring how AI can advance sustainability goals while addressing the challenges these technologies create.
From geothermal resource identification to food systems and industrial infrastructure, contributors demonstrate AI's transformative potential while examining the sustainability paradox: harnessing computational power for environmental solutions while managing significant energy consumption and resource demands.
The book presents research across three domains: reimagining our relationship with natural systems, transforming human-built infrastructure, and ensuring responsible AI development. Contributors offer frameworks for understanding AI's sustainability role, governance approaches, and pathways toward sustainable artificial intelligence.
List of contents
Chapter 1. The Convergence of Two Transformative Forces: The AI-Sustainability Nexus (Annika Bush).- Part I. Reimagining Our Relationship with Natural Systems.- Chapter 2. Artificial Intelligence for Geothermometry: Recent 1 Developments and Opportunities (Mahmoud AlGaiar).- Chapter 3. How the fossil fuel phaseout impacts sustainable development indicators: a computational modelling approach (Nelson Ndugu).- Chapter 4. Contribution of digital technologies to the sustainable development of the food value chain (Fabrice Bruno Siewe).- Chapter 5. Evaluation of the Predicting Ability of Artificial Neural Networks Compared to Supervised Learning Algorithms for Crop Yield Prediction (Olaniyi Ifeoluwa).- Part II. Transforming Human-Built Systems and Infrastructure.- Chapter 6. Sustainalyze: An LLM-driven Approach for Transparent Sustainability Benchmarking (Pionzewski).- Chapter 7. Sandboxing Sustainable Tourism (Pablo Noriega).- Chapter 8. Goal-oriented counterfactuals promoting sustainable and healthy behavior (Hakan Lane).- Part III. Ensuring Human Flourishing in an AI-Enabled Future.- Chapter 9. The Role of Regulation in Reaching Sustainable AI: a Law and Economics Approach (Thomas Le Goff).- Chapter 10. Artificial Intelligence and the Human Needs What impact will AI-Based Decision-making have on our Sustainable Future? (Christian Holzbaur).- Chapter 11. Can AI Break Language Barriers in Developing Countries? (Murod Ismailov).
Summary
As artificial intelligence transforms the world and sustainability becomes increasingly urgent, understanding their intersection is critical for researchers, industry leaders, and policymakers. This volume brings together international scholars exploring how AI can advance sustainability goals while addressing the challenges these technologies create.
From geothermal resource identification to food systems and industrial infrastructure, contributors demonstrate AI's transformative potential while examining the sustainability paradox: harnessing computational power for environmental solutions while managing significant energy consumption and resource demands.
The book presents research across three domains: reimagining our relationship with natural systems, transforming human-built infrastructure, and ensuring responsible AI development. Contributors offer frameworks for understanding AI's sustainability role, governance approaches, and pathways toward sustainable artificial intelligence.
