Data protection wake machine (4 résultats)

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  • Langue : anglais

    Edité par Springer, 2025

    3031764757 / 9783031764752

    • Couverture souple

    Vendeur : preigu, Osnabrück, Allemagnepreigu

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 202,90

    EUR 70,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 5 disponibles

    Taschenbuch. Etat : Neu. Data Protection | The Wake of AI and Machine Learning | Chaminda Hewage (u. a.) | Taschenbuch | xiii | Englisch | 2025 | Springer | EAN 9783031764752 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Langue : anglais

    Edité par Springer, 2025

    3031764757 / 9783031764752

    • Couverture souple

    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 265,14

    EUR 35,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data protection and new technologies, emphasising the growing need to safeguard personal and confidential data from unauthorised access and change. Theauthors emphasizethe crucial need of strong data protection regulations, focusing on the consequences of AI and ML breakthroughs for privacy and individual rights.Thisbook emphasizesthe multifarious aspect of data protection, which goes beyond technological solutions to include ethical, legislative and societal factors.This book explores into the complexity of data protection in the age ofAI andML.It investigates how massive volumes of personal and sensitive data are utilized to train and develop AI models, demanding novel privacy-preserving strategiessuch asanonymization, differential privacy and federated learning. The duties and responsibilities of engineers, policy makers and ethicists in minimizing algorithmic bias and ensuring ethical AI use are carefully defined. Key developments, such as the influence of the European Union's General Data Protection Regulation (GDPR) and the EU AI Act on data protection procedures, are reviewed critically. This investigation focusses not only on the tactics used, but also on the problems and successes in creating a secure and ethical AI ecosystem. This book provides a comprehensive overview of the efforts to integrate data protection into AI innovation, including valuable perspectives on the effectiveness of these measures and the ongoing adjustments required to address the fluid nature of privacy concerns.This bookis a helpfulresourcefor upper-undergraduate and graduate computer science students, as well as others interested in cybersecurity and data protection. Researchers in AI, ML, and data privacy as well as data protection officers, politicians, lawmakers and decision-makers will find this book useful as a reference.…

  • Langue : anglais

    Edité par Springer, 2024

    3031764722 / 9783031764721

    • Couverture rigide

    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 265,14

    EUR 35,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data protection and new technologies, emphasising the growing need to safeguard personal and confidential data from unauthorised access and change. Theauthors emphasizethe crucial need of strong data protection regulations, focusing on the consequences of AI and ML breakthroughs for privacy and individual rights.Thisbook emphasizesthe multifarious aspect of data protection, which goes beyond technological solutions to include ethical, legislative and societal factors.This book explores into the complexity of data protection in the age ofAI andML.It investigates how massive volumes of personal and sensitive data are utilized to train and develop AI models, demanding novel privacy-preserving strategiessuch asanonymization, differential privacy and federated learning. The duties and responsibilities of engineers, policy makers and ethicists in minimizing algorithmic bias and ensuring ethical AI use are carefully defined. Key developments, such as the influence of the European Union's General Data Protection Regulation (GDPR) and the EU AI Act on data protection procedures, are reviewed critically. This investigation focusses not only on the tactics used, but also on the problems and successes in creating a secure and ethical AI ecosystem. This book provides a comprehensive overview of the efforts to integrate data protection into AI innovation, including valuable perspectives on the effectiveness of these measures and the ongoing adjustments required to address the fluid nature of privacy concerns.This bookis a helpfulresourcefor upper-undergraduate and graduate computer science students, as well as others interested in cybersecurity and data protection. Researchers in AI, ML, and data privacy as well as data protection officers, politicians, lawmakers and decision-makers will find this book useful as a reference.…

  • Langue : anglais

    Edité par Springer-Nature New York Inc, 2025

    3031764722 / 9783031764721

    • Couverture rigide

    Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books

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    Etat: Neuf

    EUR 356,09

    EUR 14,82 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : 2 disponibles

    Hardcover. Etat : Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock.