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Artificial intelligence for global counter-terrorismutilizing deep learning and innovative strategies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence for global counter-terrorismedited by Christian Kaunert ... [et al.].
其他題名:	utilizing deep learning and innovative strategies /
其他作者:	Kaunert, Christian.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	viii, 235 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	TerrorismPrevention
電子資源:	https://doi.org/10.1007/978-3-031-99235-3
ISBN:	9783031992353$q(electronic bk.)

Artificial intelligence for global counter-terrorismutilizing deep learning and innovative strategies /
Artificial intelligence for global counter-terrorismutilizing deep learning and innovative strategies /[electronic resource] :edited by Christian Kaunert ... [et al.]. - Cham :Springer Nature Switzerland :2025. - viii, 235 p. :ill. (some col.), digital ;24 cm. - Contributions to security and defence studies,2948-2291. - Contributions to security and defence studies..

Chapter 1. Artificial Intelligence and Drone Technology in Counterterrorism -- Chapter 2. AI Applications in Global Counterterrorism Efforts: Challenges, Compliance and Regulatory Gaps -- Chapter 3. Ethical Considerations in AI Driven Counterterrorism -- Chapter 4. Evolving Role of Autonomous Systems in Counter-Terrorism -- Chapter 5. Impact Assessment of Artificial Intelligence (AI) on Human Rights and Privacy: Curbing Global Digital Terrorism with Legal Measures -- Chapter 6. Impact of AI on Human Rights and Privacy in Counterterrorism: Legal and Ethical Perspectives -- Chapter 7. Legal Implications of Using AI in Security Operations -- Chapter 8. Leveraging AI and Cybersecurity for Proactive Counterterrorism: Strategies, Risks and Future Trends -- Chapter 9. The Algorithmic Panopticon: Artificial Intelligence, Mass Surveillance and the Death of Privacy -- Chapter 10. The Role of AI in Enhancing Predictive Policing to Prevent Terrorism -- Chapter 11. Exploring Facial Recognition Technology in Counterterrorism: AI in Surveillance and Monitoring -- Chapter 12. AI-Driven Predictive Analytics for Threat Assessment.

The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and deep learning in combating global terrorism, providing a comprehensive analysis of how these technologies can safeguard nations and societies. It presents strategies for utilizing AI and deep learning in intelligence gathering, predictive analysis, surveillance, and threat detection. The book examines the use of machine learning algorithms to analyze vast amounts of data, identifying patterns and trends to anticipate potential terrorist activities. It highlights how AI-powered systems enhance counterterrorism operations, real-time responses, and decision-making processes. Offering technical insights and practical applications, this book will appeal to students, researchers, and scholars of security studies, international relations, law, and political science, as well as to policymakers, and security professionals interested in a forward-thinking approach to combating terrorism in an interconnected world.

ISBN: 9783031992353$q(electronic bk.)

Standard No.: 10.1007/978-3-031-99235-3doiSubjects--Topical Terms:

831633
Terrorism
--Prevention

LC Class. No.: HV6431

Dewey Class. No.: 363.32517

Artificial intelligence for global counter-terrorismutilizing deep learning and innovative strategies /
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520 $a The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and deep learning in combating global terrorism, providing a comprehensive analysis of how these technologies can safeguard nations and societies. It presents strategies for utilizing AI and deep learning in intelligence gathering, predictive analysis, surveillance, and threat detection. The book examines the use of machine learning algorithms to analyze vast amounts of data, identifying patterns and trends to anticipate potential terrorist activities. It highlights how AI-powered systems enhance counterterrorism operations, real-time responses, and decision-making processes. Offering technical insights and practical applications, this book will appeal to students, researchers, and scholars of security studies, international relations, law, and political science, as well as to policymakers, and security professionals interested in a forward-thinking approach to combating terrorism in an interconnected world.
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