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Full Description
Confronting how AI the Internet of Things (IoT), and big data analytics are changing how we live, this book examines how these technologies can affect society at large and education and internal and external security in particular. Managing Organizational and Societal Challenges of AI: Insights from Education and Cyber Security addresses such questions as:
What threats does AI pose to today's world, its internal security and broadly understood external security?
Will AI-based education take away people's will to think and create?
Why does AI inspire awe in some of us and fear in others?
The book answers these questions by analysing how AI, IoT, and data analytics are applied in security and education. This analysis begins with a literature survey of how these technologies bring both opportunities and threats that require responsible governance and global cooperation. The book underscores the necessity of resilience, adaptive strategies, and innovative technologies to ensure preparedness for both traditional and non-traditional threats. It also emphasises that sustainable global security requires coordinated efforts, effective governance, and multilateral cooperation.
The book continues its analysis by examining the practical applications of artificial intelligence in management, education, and security. Featuring case studies, it highlights how AI supports hazard monitoring, emergency response, and sustainable mobility, as well as personalising education, enhancing training, and automating administrative tasks. Discussing the opportunities and challenges of AI in education, including the risks of over-reliance, reduced critical thinking, and ethical concerns related to data privacy, the book concludes that AI offers significant benefits for improving efficiency, security, and adaptability, but also requires responsible regulation, investment, and awareness of its limitations to ensure ethical and sustainable implementation.
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Contents
1. Future Technologies and Security 2. Social and Cultural Aspects of AI 3. Practical Applications of AI in Management and Education 4. Summary and Conclusions
