01109nam a2200277|i 450099100378063970753620021223130633.0021105s2001 it u u itauu8820328909b11862877-39ule_instLE02988309ExLISUFI - Sett. Diritti e Politiche Euromediterraneeita343.0999Nespor, Stefano34411Internet e la legge :la persona, la proprietà intellettuale, il commercio elettronico, gli aspetti penalistici /Stefano Nespor, Ada Lucia De Cesaris2. edMilano :U. Hoepli,c2001399 p. ;21 cm.InternetAspetti giuridiciDe_Cesaris, Ada Luciaauthorhttp://id.loc.gov/vocabulary/relators/aut35329.b1186287702-04-1423-12-02991003780639707536LE029 343.09 NES01.011LE029-4440le029-E0.00-no 01010.i1211535623-12-02Internet e la legge68072UNISALENTOle02901-01-02ma -itait 0103338nam 22004693 450 991091869550332120251116213854.097830317647383031764730(CKB)37078340500041(MiAaPQ)EBC31857855(Au-PeEL)EBL31857855(OCoLC)1482263505(BIP)119621608(BIP)118896641(EXLCZ)993707834050004120241227d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierData Protection The Wake of AI and Machine Learning1st ed.Cham :Springer,2025.©2024.1 online resource (309 pages)Intelligent Technologies and Robotics Series9783031764721 3031764722  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.005.8Hewage Chaminda1373670Yasakethu Lasith1781172Jayakody Dushmantha Nalin K1781173MiAaPQMiAaPQMiAaPQBOOK9910918695503321Data Protection4305941UNINA