Artificial Intelligence (AI) in Forensic Sciences: Forensic Science in Focus
Autor Z Geradtsen Limba Engleză Hardback – 18 oct 2023
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Specificații
ISBN-13: 9781119813323
ISBN-10: 1119813328
Pagini: 256
Dimensiuni: 178 x 253 x 21 mm
Greutate: 0.62 kg
Editura: Wiley
Seria Forensic Science in Focus
Locul publicării:Chichester, United Kingdom
ISBN-10: 1119813328
Pagini: 256
Dimensiuni: 178 x 253 x 21 mm
Greutate: 0.62 kg
Editura: Wiley
Seria Forensic Science in Focus
Locul publicării:Chichester, United Kingdom
Notă biografică
Cuprins
1. Introduction 2. AI-based forensic evaluation in court: the desirability of explanation and the necessity of validation 3. AI 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. Towards the use of Artificial Intelligence in Digital Investigations 6. On the feasibility of social network analysis methods for investigating large-scale criminal networks 7. Mapping NLP Techniques to Investigation 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. Conclusions 1. Introduction 2. AI-based forensic evaluation in court: the desirability of explanation and the necessity of validation 3. AI 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. Towards the use of Artificial Intelligence in Digital Investigations 6. On the feasibility of social network analysis methods for investigating large-scale criminal networks 7. Mapping NLP Techniques to Investigation 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. Conclusions