Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good. Some minimal external wear. Otherwise, very clean, tight, and unmarked. A very good copy! Pages are clean, text and pictures are intact and unmarred.
Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031764722 ISBN 13: 9783031764721
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2025
ISBN 10: 3031764722 ISBN 13: 9783031764721
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 302,64
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock.