Téléchargez le livre : Data Protection

Data Protection

The Wake of AI and Machine Learning de

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Éditeur :

Springer


Paru le : 2024-12-23

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Description

 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. The authors emphasize the crucial need of strong data protection regulations, focusing on the consequences of AI and ML breakthroughs for privacy and individual rights. This book emphasizes the 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 of AI and ML. It investigates how massive volumes of personal and sensitive data are utilized to train and develop AI models, demanding novel privacy-preserving strategies such as anonymization, 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 book is a helpful resource for 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.
Pages
308 pages
Collection
n.c
Parution
2024-12-23
Marque
Springer
EAN papier
9783031764721
EAN PDF
9783031764738
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
8376 Ko
Prix
210,99 €
EAN EPUB
9783031764738
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
17152 Ko
Prix
210,99 €

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