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Democracy, Environment, and Technology : The Cases of AI and Fusion Energy. E.G.Carayannis他編 民主主義、環境、技術-AIと核融合エネルギーの事例
・ISBN 978-3-032-03126-6 hard EUR 39.99
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| 著者・編者 | Carayannis, Elias G. / Erokhin, Vasilii (eds.), |
|---|---|
| シリーズ | Synthesis Lectures on Engineering, Science, and Technology |
| 出版社 | (Springer, GW) |
| 出版年月 | 2025.10 |
| ページ数 | 430 pp. |
| 言語 | ENG |
| ニュース番号 | <756-651 756-847> |
解説
The 21st century is witnessing an unprecedented convergence of transformative technologies that promise to reshape global energy systems, governance, and societal well-being. Among these, Public Interest Technology (PIT), Artificial Intelligence (AI), and Fusion Energy stand out as critical domains with the potential to drive sustainable development, economic growth, and equitable progress.
This book explores the concepts of PIT, AI, and Fusion, in ten chapters. It begins by tracing the evolution of PIT, emphasizing its role in addressing global challenges through socio-technical frameworks. Key themes include the ethical and practical challenges of PIT, such as data privacy, algorithmic bias, and funding barriers, as well as its potential to drive equitable solutions. The importance of stakeholder inclusion, particularly from the Global South, and frameworks to manage uncertainties in technology investments are highlighted. Case studies illustrate successful PIT implementations, such as AI-driven sustainability projects and fusion energy initiatives, while underscoring the need for interdisciplinary collaboration and adaptive governance.
The later chapters focus on fusion energy as a PIT advocating for open science, international cooperation, and flexible investment strategies to overcome technical and financial hurdles. In these chapters, ideas that fusion energy, if developed inclusively, could revolutionize global energy systems and combat climate change are discussed, and governance models, such as international commissions and public-private partnerships, to ensure equitable access and ethical development are proposed. Similarly, discussions on AI stress its dual potential to either exacerbate inequality or democratize opportunities, depending on policy and implementation.