
- English
- ePUB (mobile friendly)
- Available on iOS & Android
The Blueprint for AI Adoption and Societal Transformation
About this book
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 minimise its footprint and promote AI solutions that contribute to environmental goals. The authors extend into an 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 a practical understanding of how AI is being used in different contexts. This 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 and environmental objectives.
The primary audience for this book includes business leaders, professionals, policymakers, technologists, and AI practitioners.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Note to Readers and Educators
- Authors
- Acknowledgements
- 1. The AI Adoption Landscape
- 2. The AI Adoption FrameworkâBusiness Perspective
- 3. The AI Adoption FrameworkâTechnology 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 Personalised Education
- 10. Digital Society with Smart Governance
- 11. AI Adoption for Asset-Based Industry
- 12. AI Adoption for Customer-Based Industries
- 13. AI Adoption for Customer and Asset (Hybrid) Industries
- 14. AI Adoption for Government Services
- 15. Agentic AIâTransforming Innovation
- 16. Innovations on the Horizon
- 17. Embracing Change
- Index