Data Protection
Springer International Publishing (Verlag)
978-3-031-76472-1 (ISBN)
- Noch nicht erschienen - erscheint am 26.01.2025
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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.
Dr. Chaminda Hewage is a Reader (Associate Professor) in Data Security in the Cardiff School of Technologies at Cardiff Metropolitan University, UK where he is also the Associate Dean Research for the school. He is the fFounding Director of the Cybersecurity and Information Networks Centre (CINC) at Cardiff Metropolitan University. He received a B.Sc. Engineering (First Class Honours Degree) in Electrical and Information Engineering from the Faculty of Engineering, University of Ruhuna (Sri Lanka) in 2004 and a Ph.D. in Multimedia Communications from the University of Surrey (UK) in 2009. He was awarded the Gold Medal for best performance in Engineering (2014) by the University of Ruhuna for his achievements in undergraduate studies at the General Convocation held in 2004. After graduation, he joined Sri Lanka Telecom PLC (Sri Lanka) as a Telecommunication Engineer (2004). In September 2005, he was awarded the Overseas Research Scholarships (ORS) scholarship by the Higher Education Funding Council of England (Universities UK) to pursue his Ph.D. at the University of Surrey, UK. Upon completion of his PhD, he works as a researcher at the University of Surrey, UK and Kingston University, London, UK. In 2015, he joined Cardiff Metropolitan University, UK as a Senior Lecturer in Networking and Cyber Security. In 2014, he received a Post-Graduate Certification in Higher Education (HE) Teaching and Learning from Kingston University - London. He is a Fellow of the Higher Education Academy (HEA), UK. He is a Senior member of the IEEE and Member of IET and the Chartered Institute of Information Security (CIISec).
Dr. Lasith Yasakethu is a Senior Lecturer in Department of Applied Electronics, Sri Lanka Technological Campus. He is currently serving as the Dean of Faculty of Technology. Dr. Yasakethu received his BSc. Engineering degree (First Class Hons.) in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka, in 2007. He was awarded the prize for best performance in Electronic Communication Engineering by the University of Peradeniya for his achievements in undergraduate studies. After graduation, he joined Dialog Telecom (Pvt.) Ltd., Sri Lanka as a Core-Network Engineer (2007). In October 2007 he was awarded the Overseas Research Scholarships Award by the Higher Education Funding Council of England to pursue PhD at the University of Surrey, UK. After completing his PhD, he worked as a Research Engineer for Technicolor Research & Innovations (formerly known as THOMSON R&D), in Rennes, France (2010-2012). Dr. Yasakethu worked as a Research Fellow and a Senior Research Fellow at University of Surrey, UK and Kingston University, London, UK respectively (2012-2014). Afterwards, he worked as a Senior Lecturer at Department of Mechatronics, Faculty of Engineering, SAITM, Sri Lanka (2014-2016) and Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka (2016-2018). His area of expertise is 3D Video Communication, Perception and Cyber Security. Dr. Yasakethu has worked for several European Commission Framework Program-6 (FP6), and Framework Program-7 (FP7) and Horizon 2020 projects. He is a member of IEEE & an author/reviewer of several IEEE/IET journal/conference publications.
Prof. Dushantha Nalin Jayakody, is a Senior Member IEEE, Fellow, IET, and received the Ph. D. degree in Electronics and Communications Engineering, from the University College Dublin, Ireland in 2014. He received his MSc degree in Electronics and Communications Engineering from Eastern Mediterranean University, Turkey. He was ranked as the top 2% scientist in the world in 2021, 2022 and 2023 by the Stanford Elsevier list. In 2021, he received the Sri Lankan Presidential Award for his outstanding research performance among many other awards and recognitions. Since 2022, he is a Professor at the Lusófona
Chapter 1 The data protection challenges and opportunities due to the emerging AI and ML technologies.- Chapter 2: Death becomes data.- Chapter 3 Redefining Reality in Political Propaganda: Exploring the Impact of Superimposed Deepfakes in Misinformation Campaigns.- Chapters 4 Profiling and Privacy: The Responsibility for Data Privacy in the Wake of Advancing Technologies.- Chapter 5 Assessing the Application of Artificial Intelligence and Machine Learning in Detecting Misinformation and Disinformation.- Chapter 6 Trust and trustworthiness: Privacy Protection in the ChatGPT Era.- Chapter 7 Beyond the Black Box: XAI Strategies for Safeguarding Critical Infrastructure.- Chapter 8 Data Protection Challenges in the Processing of Sensitive Data.- Chapter 9 Metaverse Meets Robotics: Addressing Data Protection and Privacy in Robotic Environment.- Chapter 10 Detecting Deepfakes Through the Classification of Facial Active and Passive Features Using Machine Learning.- Chapter 11 Smart Cities, Secure Data: Navigating the Evolving Landscape of Data Protection Challenges.- Chapter 12 Disinformation and the Impact on Democracy.
| Erscheint lt. Verlag | 26.1.2025 |
|---|---|
| Zusatzinfo | X, 318 p. 75 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Artificial Intelligence • ChatGPT • Cyber Law • data protection • data protection regulations • Data Security • disinformation • Equitable AI • gdpr • Internet of Things (IoT) • IoT Privacy • Large Language Model (LLM) • misinformation • privacy • responsible AI • Transparent AI |
| ISBN-10 | 3-031-76472-2 / 3031764722 |
| ISBN-13 | 978-3-031-76472-1 / 9783031764721 |
| Zustand | Neuware |
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