Buch, Englisch, 466 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 466 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-04030-9
Verlag: CRC Press
This book analyses Artificial Intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco-friendly AI, navigating legal frameworks, and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real-world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future.
This comprehensive study of AI begins by looking at AI's role in environmental sustainability, providing actionable strategies for eco-friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimize its footprint and promote AI solutions that contribute to environmental goals. The authors extend into insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real-world case studies, the reader gains practical understanding of how AI is being used in different contexts. This further enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal objectives.
The primary audience for this book includes business leaders, professionals, policymakers, technologists and AI practitioners.
Zielgruppe
Professional Practice & Development, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. The AI Adoption Landscape 2. The AI Adoption Framework – Business Perspective 3. The AI Adoption Framework – Technology Perspective 4. AI and Crisis Management 5. AI and Workforce Transformation 6. Ethics and Security in AI Development 7. Overcoming Technology Challenges in AI Adoption 8. The Cultural Impact of AI 9. AI-Powered Personalized Education 10. Digital Society with Smart Governance 11. AI Adoption for Asset-Based Industries 12. AI Adoption for Customer-Based Industries 13. AI Adoption in Hybrid Industries 14. AI Adoption for Government Services 15. Agentic AI – Transforming Innovation 16. Innovations on the Horizon 17. Embracing Change