Название: Artificial Intelligence (AI) in Forensic SciencesАвтор: Zeno Geradts, Katrin Franke
Издательство: Wiley
Год: 2024
Страниц: 258
Язык: английский
Формат: pdf (true)
Размер: 13.0 MB
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.
Artificial Intelligence (AI) is based on complex algorithms, methods using them, and systems. In this chapter, we understand algorithms as the core technology (e.g., a deep neural network (DNN)), the methods as the application of that core technology to a particular problem (e.g., the use of a DNN to evaluate fingerprint evidence), and the system as the software tool(s) that implement that method and algorithm (e.g., the GUI software package, or API, that is commercialized). The core technology typically includes pattern recognition and Machine Learning algorithms, whose complexity and performance has increased dramatically over the last years. These algorithms are often explainable in their inputs and their outputs, but the rationale that governs their internal mechanisms can be very difficult to explain.
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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