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This book provides a comprehensive examination of the role of artificial intelligence (AI) in driving technological innovation and promoting sustainability across various industries. The book begins by outlining the foundational principles of AI, exploring its core technologies, and presenting an overview of ethical considerations in AI development and deployment.
The book includes sections on: AI in healthcare, which includes advancements in AI-enabled diagnostics, personalized treatment, drug discovery, and predictive modeling for disease outbreaks; AI's potential for social good, examining its role in combating disinformation, enhancing education, supporting humanitarian efforts, and promoting accessibility and inclusion; the future of work, including the dynamics of human-AI collaboration, new job paradigms, and the challenges of AI-driven automation, as well as practical recommendations for upskilling and reskilling the workforce. The book also considers technological advancements that contribute to sustainable development, such as machine learning for energy efficiency, smart grids, and sustainable agriculture. The book emphasizes the need for interdisciplinary collaboration among researchers, industry leaders, and policymakers to harness AI's potential for a sustainable future.
Technological Innovation and Sustainability through AI offers a valuable resource for academics, practitioners, and policymakers, providing a holistic understanding of how AI can be leveraged to drive technological innovation and sustainability.
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This book provides a comprehensive examination of the role of artificial intelligence (AI) in driving technological innovation and promoting sustainability across various industries. The book begins by outlining the foundational principles of AI, exploring its core technologies, and presenting an overview of ethical considerations in AI development and deployment.
The book includes sections on: AI in healthcare, which includes advancements in AI-enabled diagnostics, personalized treatment, drug discovery, and predictive modeling for disease outbreaks; AI's potential for social good, examining its role in combating disinformation, enhancing education, supporting humanitarian efforts, and promoting accessibility and inclusion; the future of work, including the dynamics of human-AI collaboration, new job paradigms, and the challenges of AI-driven automation, as well as practical recommendations for upskilling and reskilling the workforce. The book also considers technological advancements that contribute to sustainable development, such as machine learning for energy efficiency, smart grids, and sustainable agriculture. The book emphasizes the need for interdisciplinary collaboration among researchers, industry leaders, and policymakers to harness AI's potential for a sustainable future.
Technological Innovation and Sustainability through AI offers a valuable resource for academics, practitioners, and policymakers, providing a holistic understanding of how AI can be leveraged to drive technological innovation and sustainability.