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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 51270733-n
Quantité disponible : 10 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. AI Forensics provides a 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 a 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 9781041063049
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 51270733-n
Quantité disponible : 10 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9781041063049
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51270733
Quantité disponible : 10 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. AI Forensics provides a 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 a 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781041063049
Quantité disponible : 1 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9781041063049
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51270733
Quantité disponible : 10 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. N° de réf. du vendeur 408312097
Quantité disponible : 3 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26404875006
Quantité disponible : 3 disponible(s)