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Artificial Intelligence (AI) in Forensic Sciences
About this book
ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCES
Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science
Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI.
The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective.
Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley — AAFS series 'Forensic Science in Focus', Artificial Intelligence (AI) in Forensic Sciences includes information on:
- Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection
- Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis
- Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications
- Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysis
Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master's students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies.
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Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- About the editors
- List of Contributors
- Series Preface
- Preface Book
- Acknowledgements
- 1 Introduction
- 2 AI-based Forensic Evaluation in Court: The Desirability of Explanation and the Necessity of Validation
- 3 Machine Learning for Evidence in Criminal Proceedings: Techno-legal Challenges for Reliability Assurance
- 4 Formalising Representation and Interpretation of Digital Evidence to Reinforce Reasoning and Automated Analysis
- 5 Servicing Digital Investigations with Artificial Intelligence
- 6 On the Feasibility of Social Network Analysis Methods for Investigating Large-scale Criminal Networks
- 7 Mapping NLP Techniques to Investigations and Investigative Interviews
- 8 The Influence of Compression on the Detection of Deepfake Videos
- 9 Event Log Analysis and Correlation: A Digital Forensic Perspective
- 10 (Hyper-)graph Analysis and its Application in Forensics
- 11 Conclusion
- Index
- End User License Agreement