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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.
List of contents
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.
About the author
Christian Kaunert is a Professor of International Security at Dublin City University, Ireland, and a Professor of Policing and Security at the University of South Wales, UK, where he directs the International Centre for Policing and Security. He also directs the Jean Monnet Centre of Excellence. Previously, he held roles at Vrije Universiteit Brussel, Belgium, and the University of Dundee, UK. He has taught at numerous international universities and served as an expert for various European and international organizations. Kaunert has received multiple prestigious fellowships and research grants. He is the Editor of the Journal of Contemporary European Studies and holds a PhD in International Politics from the University of Wales Aberystwyth, UK.
Bhupinder Singh is a Professor at Sharda School of Law, Sharda University, India, and an Honorary Professor at Santo Tomas University, Colombia. He has authored multiple books and published numerous papers in international journals. Singh serves as editor-in-chief and co-editor for various journals and has given talks at renowned international universities. He has been a resource person at international conferences, including Nanyang Technological University, Tashkent State University of Law, KIMEP University, and Texas A&M University.
Rhishikesh Dave is an expert in human rights, international humanitarian laws, and criminal law, with over 20 years of experience in legal education. He holds an LL.M. and PhD, including a Doctoral Scholarship at The Hague Academy of International Law, The Netherlands. He began his career at Gujarat National Law University, India, and has held significant roles at Nirma University, Galgotias University, NMIMS University, and Marwadi University, India. Currently, he is with Sharda School of Law, Sharda University. Dave has secured prestigious grants, including two Erasmus Plus projects, and continues to inspire the next generation of legal professionals.
Sally Lukose is a Professor in the Department of Forensic Sciences and Dean at Sharda School of Allied Health Sciences, Sharda University. She earned her M.Sc and Ph.D. from Dr. H.S. Gour University, Madhya Pradesh, India. Before joining Sharda University, she was Professor and Dean of Academics at the College of Traffic Management - Institute of Road Traffic Education (CTM-IRTE).
Anjali Raghav is a Research Scholar at Sharda School of Law, Sharda University, India. She holds PhD in Philosophy. Her research focuses on criminal law, intellectual property rights, AI, machine learning, blockchain technology, and sustainable energy. With three years of experience as a criminal lawyer, she integrates practical insights into her academic work. Anjali has a robust portfolio of publications and has participated in numerous national and international conferences.
Summary
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.
