The book provides a complete overview of forensic science, AI, and data management in law and business. It reviews the applications of AI and advanced data management methods across various legal and forensic domains. Topics discussed include digital forensics, predictive modelling, automatic classification, anomaly detection, cold case analysis, metadata analysis, and pattern recognition using blockchain technology.
The book explores the cutting-edge intersection of fields such as ethical AI in legal systems, forensic science, data privacy, and forensic accounting laws. It examines the ethical implications of integrating computational intelligence including AI and machine learning into legal and judicial systems. The challenges and opportunities of applying AI to decision-making in human rights contexts are analysed, with emphasis on transparency, accountability, and fairness in algorithmic decision-making within legal frameworks.
Further, it evaluates the intersection of data privacy and human rights with respect to biometric data collection, discussing the implications of mass surveillance, data harvesting, and profiling on individual privacy and civil liberties. The book also investigates how computational intelligence can be used to analyse large-scale datasets and enhance legal research and decision-making within the framework of human rights and the rule of law.
Key Features:
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Christian Kaunert is Professor of International Security at Dublin City University, Ireland. He is also Professor of Policing and Security, as well as Director of the International Centre for Policing and Security at the University of South Wales. In addition, he is the Jean Monnet Chair, Director of the Jean Monnet Centre of Excellence and Director of the Jean Monnet Network on EU Counter-Terrorism.
Bhupinder Singh is working as Professor at Sharda School of Law, Sharda University Greater Noida, India. He has delivered numerous talks at international universities and - served as a resource person in international conferences, including at Nanyang Technological University Singapore, Tashkent State University of Law Uzbekistan, KIMEP University Kazakhstan, Northumbria University Newcastle UK, Taylor’s University Malaysia, AFM Krakow University Poland, Texas A&M University, USA.
Laeeq Razzak Janjua holds a PhD in International Relations with a specialization in Political Economy from WSB University, Poland, and also holds a Postgraduate Diploma in Compliance. He is affiliated with TMF Group, Poland, where he works as a Compliance Officer. He also serves as a lecturer at WSB University, Poland. Dr. Laeeq Razzak Janjua is a finance professional working in compliance and academia, with a career marked by dedication, expertise, and a strong commitment to excellence
Sally Lukose has been associated with Sharda Group as a Professor at the Sharda University since 2020. She currently serves as the Director of National and International Rankings and Accreditations, and also holds additional responsibility as the Dean of the Sharda School of Business Studies. She is an alumna of prestigious institutions, including Savitribai Phule Pune University (formerly the University of Poona), Dr. Hari Singh Gour University (a Central University), and the Indian Institute of Management Calcutta.
Santosh Kumar is working as an Associate Professor of Finance at the Sharda School of Business Studies, Sharda University. He holds an MBA in Finance, an M.Com, an M.A. in Economics, ICWA (Inter), and a PhD, and has over 20 years of experience in teaching and research. He has published numerous research papers in national and international journals of high repute. He has authored two books in the field of finance.
Fatima Zahra Ouariach is a Doctoral Researcher specializing in Educational Technology and Temporary Professor at Abdelmalek Essaadi University. She is currently working on her PhD, focusing on the management of communication tools in e-learning through an LMS platform. Her research aims to design an efficient architecture for communication tools in the specific context of online learning using an LMS platform for academia and corporate sector.
Anjali Raghav is a legal professional and currently a Research Scholar at the School of Law, Sharda University, Greater Noida, India. She holds a Master’s degree in Law from the Sharda School of Law, where she developed expertise in Criminal Law, Intellectual Property Rights, Artificial Intelligence, Machine Learning, Blockchain Technology, Sustainable Energy, and related areas.
Ashima Jain has been working as an Assistant Professor at the School of Law, Manipal University Jaipur since 2022. She has actively presented research papers at ICSSR-supported conferences and has published several papers in reputed forums. She is also affiliated with various prestigious professional bodies as a lifetime member, including the South Asian Society of Criminology & Victimology (SASCV) and other academic associations in the field of sociology and law.
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Hardcover. Zustand: new. Hardcover. The book provides a complete overview of forensic science, AI, and data management in law and business. It reviews the applications of AI and advanced data management methods across various legal and forensic domains. Topics discussed include digital forensics, predictive modelling, automatic classification, anomaly detection, cold case analysis, metadata analysis, and pattern recognition using blockchain technology.The book explores the cutting-edge intersection of fields such as ethical AI in legal systems, forensic science, data privacy, and forensic accounting laws. It examines the ethical implications of integrating computational intelligence including AI and machine learning into legal and judicial systems. The challenges and opportunities of applying AI to decision-making in human rights contexts are analysed, with emphasis on transparency, accountability, and fairness in algorithmic decision-making within legal frameworks.Further, it evaluates the intersection of data privacy and human rights with respect to biometric data collection, discussing the implications of mass surveillance, data harvesting, and profiling on individual privacy and civil liberties. The book also investigates how computational intelligence can be used to analyse large-scale datasets and enhance legal research and decision-making within the framework of human rights and the rule of law.Key Features:Studies the use of AI in criminal scene managementReviews the use of AI in data handlingReviews anomaly detection in companiesEvaluated the use of AI in legal assistanceCovers emotion and sentiment analysis by AI in criminal matters. This edited book titled as AI in Forensic Science, Data Management and Law provides an in-depth examination of forensic applications as they relate to artificial intelligence and the field itself, from user interaction to crime scene processing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781041100003
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Hardcover. Zustand: new. Hardcover. The book provides a complete overview of forensic science, AI, and data management in law and business. It reviews the applications of AI and advanced data management methods across various legal and forensic domains. Topics discussed include digital forensics, predictive modelling, automatic classification, anomaly detection, cold case analysis, metadata analysis, and pattern recognition using blockchain technology.The book explores the cutting-edge intersection of fields such as ethical AI in legal systems, forensic science, data privacy, and forensic accounting laws. It examines the ethical implications of integrating computational intelligence including AI and machine learning into legal and judicial systems. The challenges and opportunities of applying AI to decision-making in human rights contexts are analysed, with emphasis on transparency, accountability, and fairness in algorithmic decision-making within legal frameworks.Further, it evaluates the intersection of data privacy and human rights with respect to biometric data collection, discussing the implications of mass surveillance, data harvesting, and profiling on individual privacy and civil liberties. The book also investigates how computational intelligence can be used to analyse large-scale datasets and enhance legal research and decision-making within the framework of human rights and the rule of law.Key Features:Studies the use of AI in criminal scene managementReviews the use of AI in data handlingReviews anomaly detection in companiesEvaluated the use of AI in legal assistanceCovers emotion and sentiment analysis by AI in criminal matters. This edited book titled as AI in Forensic Science, Data Management and Law provides an in-depth examination of forensic applications as they relate to artificial intelligence and the field itself, from user interaction to crime scene processing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781041100003
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