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Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. N° de réf. du vendeur CBS 9781041063032
AI Forensics provides the first comprehensive framework for investigating artificial intelligence systems when they fail, cause harm, or become subjects of legal or regulatory scrutiny. As AI systems power critical decisions in healthcare, finance, autonomous vehicles, and public safety, traditional digital forensics techniques prove inadequate for understanding their complex, opaque, and dynamic behaviors.
You'll master systematic approaches for evidence collection across distributed cloud environments, training data analysis for bias detection and intellectual property violations, model parameter examination to identify tampering or discrimination, and output analysis to validate system performance and detect adversarial attacks. The book provides detailed investigation templates, Python code examples, and statistical validation techniques that can be immediately applied to active cases. Each chapter builds upon previous techniques, creating an integrated investigation framework that scales from small regional deployments to enterprise systems spanning multiple jurisdictions. Through real-world case studies spanning healthcare bias investigations, financial fraud detection failures, and autonomous system malfunctions, you'll learn to answer critical questions: Was the AI system modified after deployment? Does training data contain unauthorized content? Are there signs of model tampering? Does system behavior match specifications?
This practical guide equips forensic investigators, legal professionals, and AI practitioners with specialized methodologies tailored to AI's unique characteristics. It provides both technical depth for expert practitioners and accessible explanations for legal professionals who must understand and present AI evidence in court proceedings.
À propos de l?auteur:
Joseph C. Sremack is a computer scientist and forensic examiner with over 20 years of experience in data, software, and systems analysis, having worked on more than 500 investigations across numerous industries, regulatory bodies, and courts in over fifty countries. He is a recognized expert in both traditional digital forensics and emerging AI forensics methodologies, bridging the gap between established investigative practices and cutting-edge artificial intelligence systems.
Titre : AI FORENSICS INVESTIGATION AND ANALYSIS OF ...
Éditeur : TAYLOR & FRANCIS NP EXCLUSIVE(CBS)
Date d'édition : 2026
Reliure : Couverture souple
Etat : New
Edition : Edition internationale
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Paperback. Etat : new. Paperback. AI Forensics provides the first comprehensive framework for investigating artificial intelligence systems when they fail, cause harm, or become subjects of legal or regulatory scrutiny. As artificial intelligence (AI) systems power critical decisions in healthcare, finance, autonomous vehicles, and public safety, traditional digital forensics techniques prove inadequate for understanding their complex, opaque, and dynamic behaviors.Youll master systematic approaches for evidence collection across distributed cloud environments, training data analysis for bias detection and intellectual property violations, model parameter examination to identify tampering or discrimination, and output analysis to validate system performance and detect adversarial attacks. The book provides detailed investigation templates, Python code examples, and statistical validation techniques that can be immediately applied to active cases. Each chapter builds upon previous techniques, creating an integrated investigation framework that scales from small regional deployments to enterprise systems spanning multiple jurisdictions. Through real-world case studies spanning healthcare bias investigations, financial fraud detection failures, and autonomous system malfunctions, youll learn to answer critical questions: Was the AI system modified after deployment? Does training data contain unauthorized content? Are there signs of model tampering? Does system behavior match specifications?This practical guide equips forensic investigators, legal professionals, and AI practitioners with specialized methodologies tailored to AIs unique characteristics. It provides both technical depth for expert practitioners and accessible explanations for legal professionals who must understand and present AI evidence in court proceedings.Companion Author Website: html AI Forensics provides the first comprehensive framework for investigating artificial intelligence systems when they fail, cause harm, or become subjects of legal or regulatory scrutiny. As AI systems power critical decisions, traditional digital forensics proves inadequate for understanding their complex, opaque and dynamic behaviors. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041063032
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