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.

This Lecture Notes in Computer Science (LNCS) volume contains the papers presented at the Second International Workshop on Computational Forensics (IWCF 2008), held August 7-8, 2008. It was a great honor for the organizers to host this scienti?c event at the renowned National Academy of Sciences: Keck Center in Washington, DC, USA. Computational Forensics is an emerging research domain focusing on the investigation of forensic problems using computational methods. Its primary goalis the discoveryand advancement of forensicknowledgeinvolving modeling, computer simulation, and computer-based analysis and recognition in studying and solving forensic problems. The Computational Forensics workshop series is intended as a forum for researchers and practitioners in all areas of computational and forensic sciences. This forum discusses current challenges in computer-assisted forensic investi- tions and presents recent progress and advances. IWCF addresses a broad spectrum of forensic disciplines that use computer tools for criminal investigation. This year's edition covers presentations on c- putational methods for individuality studies, computer-based3D processing and analysis of skulls and human bodies, shoe print preprocessing and analysis, n- ural language analysis and information retrieval to support law enforcement, analysis and group visualization of speech recordings, scanner and print device forensics, and computer-based questioned document and signature analysis.

This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM 2006. The book presents 32 revised full papers and 44 revised poster papers together with 5 invited papers. Topical sections include image filtering, restoration and segmentation, shape analysis and representation, recognition, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, and more.

The proceedings of the Third International Conference on Intelligent Systems Design and Applications (ISDA 2003) held in Tulsa, USA, August 10-13. Current research in all areas of computational intelligence is presented including design of artificial neural networks, fuzzy systems, evolutionary algorithms, hybrid computing systems, intelligent agents, and their applications in science, technology, business and commerce. Main themes addressed by the conference are the architectures of intelligent systems, image, speech and signal processing, internet modeling, data mining, business and management applications, control and automation, software agents and knowledge management.

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Computational Forensics, IWCF 2010, held in Tokyo, Japan in November 2010. The 16 revised full papers presented together with two invited keynote papers were carefully selected during two rounds of reviewing and revision. The papers cover a wide range of current topics in computational forensics including authentication, biometrics, document analysis, multimedia, forensic tool evaluation, character recognition, and forensic verification.

ThisLectureNotesinComputerScience(LNCS)volumecontainsthepapersp- sentedatthe ThirdInternationalWorkshoponComputationalForensics(IWCF 2009), held August 13-14, 2009 at The Netherlands Forensic Institute in The Hague, The Netherlands. Computational forensics is a research domain focusing on the investigation of forensic problems using computational methods. Its primary goal is the d- covery and advancement of forensic knowledge involving modeling, computer simulation, and computer-based analysis and recognition in studying and so- ing forensic problems. The Computational Forensics Workshop series is intended as a forum for researchers and practicioners in all areas of computational and forensic s- ences. This forum discusses current challenges in computer-assisted forensics and presents recent progress and advances. IWCF addressesa broadspectrum of forensicdisciplines fromcriminal inv- tigation. The NAS report "Strengthening Forensic Science in the United States: A Path Forward," published in 2009, already concluded that: "With the exc- tion of nuclear DNA analysis, no forensic method has been rigorously shown to havethecapacitytoconsistentlyandwithahighdegreeofcertaintydemonstrate aconnectionbetweenevidenceandspeci?cindividualorsource."Computational methods can assist with statistical methods using, for example, likelihood ratios to strengthen the di?erent ?elds of forensic science. The organization of such an event is not possible without the e?ort and the enthousiasm of everyone involved. We thank all the members of the P- gram Committee for the timely reviewing process and the adherence to high standards. June 2009 Zeno J.M.H. Geradts Katrin Y. Franke Cor J. Veenman IWCF2009 Organization IWCF2009 was jointly organized by The Netherlands Forensic Institute, The Hague, The Netherlands and the University of Amsterdam, Amsterdam, The Netherlands.