LEADER 03751nam 22005413 450 001 9910918695503321 005 20251116213854.0 010 $a9783031764738 010 $a3031764730 035 $a(CKB)37078340500041 035 $a(MiAaPQ)EBC31857855 035 $a(Au-PeEL)EBL31857855 035 $a(OCoLC)1482263505 035 $a(BIP)119621608 035 $a(BIP)118896641 035 $a(EXLCZ)9937078340500041 100 $a20241227d2025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Protection $eThe Wake of AI and Machine Learning 205 $a1st ed. 210 1$aCham :$cSpringer,$d2025. 210 4$d©2024. 215 $a1 online resource (309 pages) 225 0 $aIntelligent Technologies and Robotics Series 311 08$a9783031764721 311 08$a3031764722 330 $a 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. 606 $aCOMPUTERS / Internet / Online Safety & Privacy$2bisacsh 606 $aMATHEMATICS / Probability & Statistics / General$2bisacsh 606 $aTECHNOLOGY & ENGINEERING / Electronics / General$2bisacsh 615 7$aCOMPUTERS / Internet / Online Safety & Privacy 615 7$aMATHEMATICS / Probability & Statistics / General 615 7$aTECHNOLOGY & ENGINEERING / Electronics / General 676 $a005.8 700 $aHewage$b Chaminda$01373670 701 $aYasakethu$b Lasith$01781172 701 $aJayakody$b Dushmantha Nalin K$01781173 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910918695503321 996 $aData Protection$94305941 997 $aUNINA