Pascal Lorenz – författare

Artificial intelligence (AI) has become deeply embedded in modern life, with autonomous systems now controlling many crucial functions in healthcare, transportation, and industry. However, the incredible power of AI also enables new forms of manipulation, deception, and harm. Mitigating the Risks of AI Deepfakes explores the dark side of AI and its dangerous implications for human wellbeing.

Spanning over 250 pages, this book examines how attackers can exploit AI systems to spread misinformation, steal identities, endanger lives through faulty diagnostics, and jeopardize public safety through products like self-driving cars. The chapters also dive into the national security risks posed by deepfakes and the use of AI to create compelling fake audio/video content used for political sabotage and blackmail. They explain how deepfakes could be uniquely disruptive in conservative societies that depend on reputation and visual evidence.

While increased reliance on AI delivers efficiency and insight, unchecked development poses catastrophic risks that outweigh the benefits. By assembling a comprehensive overview of the threats we face alongside potential solutions, this book sounds an alarm regarding the dark side of progress while laying out a blueprint for mitigating dangers. The chapters synthesize cutting-edge research on fighting back against AI manipulation through innovations in machine learning, deep learning, reinforcement learning and federated learning.

Ultimately, Mitigating the Risks of AI Deepfakes serves as an essential call to action for consumers, companies, and governments to confront the hazards of AI proliferation head-on. If left unaddressed, the sinister potential of systems we depend on could endanger civil liberties and human life. We must work proactively to guard the public interest as intelligent algorithms grow more advanced. This book equips readers with the knowledge to meet that challenge.

Artificial intelligence (AI) has become deeply embedded in modern life, with autonomous systems now controlling many crucial functions in healthcare, transportation, and industry. However, the incredible power of AI also enables new forms of manipulation, deception, and harm. Mitigating the Risks of AI Deepfakes explores the dark side of AI and its dangerous implications for human wellbeing.

Spanning over 250 pages, this book examines how attackers can exploit AI systems to spread misinformation, steal identities, endanger lives through faulty diagnostics, and jeopardize public safety through products like self-driving cars. The chapters also dive into the national security risks posed by deepfakes and the use of AI to create compelling fake audio/video content used for political sabotage and blackmail. They explain how deepfakes could be uniquely disruptive in conservative societies that depend on reputation and visual evidence.

While increased reliance on AI delivers efficiency and insight, unchecked development poses catastrophic risks that outweigh the benefits. By assembling a comprehensive overview of the threats we face alongside potential solutions, this book sounds an alarm regarding the dark side of progress while laying out a blueprint for mitigating dangers. The chapters synthesize cutting-edge research on fighting back against AI manipulation through innovations in machine learning, deep learning, reinforcement learning and federated learning.

Ultimately, Mitigating the Risks of AI Deepfakes serves as an essential call to action for consumers, companies, and governments to confront the hazards of AI proliferation head-on. If left unaddressed, the sinister potential of systems we depend on could endanger civil liberties and human life. We must work proactively to guard the public interest as intelligent algorithms grow more advanced. This book equips readers with the knowledge to meet that challenge.

This book is devoted to enhanced version of selected papers presented at the 7th International Conference on Communication and Network Technology (ICCNT 2023). The objective of the proceedings of ICCNT 2023 is to present the recent research results and technological advances in the fields of theoretical and experimental applications of embedded systems, communications and signal processing decision as well as in emerging areas related to the tracks of the conference. The specific topics of interest within the scope of this special issue include design tools for electronics and embedded systems: embedded systems and software, system-on-chip (SoC), multiprocessor system-on-chip (MPSoC) platforms and applications, network-on-chip (NoC) design methodologies, reconfigurable computing, system design, synthesis, and optimization, advanced communications: circuits and systems for communications, optical fibers applications: optical communications, sensors, image, laser applications in: telemetry, LiDAR system, anemometry, computer 3D visions, range technique, RF and wireless communications, image and signal processing decision: image and video processing technology, compression, coding and implementation, cryptology and watermarking, real-time systems, sensors and instrumentation: data acquisition, audio, acoustic speech, biomedical signal processing, sensor microsystems and industrial sensors, computer engineering and networks: cloud computing technology, internet technology, computer security, computing networks, and data acquisition.

This book presents a collection of papers from the 3rd Eurasian Conference on Frontiers of Computer Science and Information Technology, held in Barcelona, Spain, from September 20-22, 2024. It offers a comprehensive overview of the latest research in subareas including Artificial Intelligence, Human-Computer Interaction, Information engineering, Computing Modelling, Computer Vision. Information Systems, and Ubiquitous Computing, providing insights into the dynamic world of computer science. The book aims to address the challenge of integrating these diverse fields into intelligent systems, making them applicable across various industries. It serves as a valuable resource for professionals, researchers, and students seeking to understand the innovative approaches and emerging trends in the field.