sremack joseph (36 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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paperback. Condizione: New.

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Paperback. Condizione: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: Brand New. 440 pages. 10.00x7.00x10.00 inches. In Stock.

Condizione: New. 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 ov.

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Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

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Hardcover. Condizione: Brand New. 440 pages. 10.00x7.00x10.24 inches. In Stock.

Paperback. Condizione: new. Paperback. 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.

Paperback. Condizione: Brand New. 440 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Paperback. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. AI Forensics | Investigation and Analysis of Artificial Intelligence Systems | Joseph C. Sremack | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Chapman and Hall/CRC | EAN 9781041063032 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condizione: 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.

Hardcover. Condizione: new. Hardcover. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.