As artificial intelligence (AI) becomes increasingly embedded in everyday life, the ways individuals interact with and use these technologies continue to evolve. What began as basic language models has expanded into a complex technological ecosystem with far-reaching capabilities. One growing area of concern is the generation of manipulated media, as advances in AI have made image and video synthesis highly realistic and increasingly difficult to distinguish from authentic content. These outputs, commonly referred to as deepfakes, are being used across social media and political contexts, raising significant ethical and societal challenges. Despite their rapid proliferation, there remains limited critical and comprehensive research addressing the implications and governance of deepfake technologies. Security, Trust, and Social Impacts of Deepfakes provides a comprehensive, multidisciplinary examination of deepfake technologies beyond the narrow lens of detection alone. While existing literature has largely emphasized technical solutions for identifying manipulated media, this book explores the full ecosystem of deepfakes. Covering topics such as fraud and identity theft, boundaries of free expression, and cognitive immunization, this book is a critical academic resource for graduate and doctoral students, forensic investigator, cybersecurity experts, law enforcement agencies, policymakers, and more.
