Deepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth. Provides a technical introduction to DeepFakes, its benefits, and the potential harms Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications Discusses future research directions with emergence of DeepFakes technology This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.

What happens when we can no longer believe what we see? Show the AI technologies that create deepfakes enough images of a celebrity or a politician and they will generate a convincing video in which that person appears to say and do things they have never actually said or done. The result is a media environment in which anyone’s face and image can be remixed and manipulated. Graham Meikle explains how deepfakes (synthetic media) are made and used. From celebrity porn and political satire to movie mash-ups and disinformation campaigns, this book explores themes of trust and consent as face-swapping software becomes more common. Meikle argues that deepfake videos allow for a new perspective on the taken-for-granted nature of contemporary media, in which our capacity to remix and share content increasingly conflicts with our capacity to trust. The book analyses how such videos deepen the social media environment in which the public and the personal converge, and in which all human experience becomes data to be shared. Timely, clear, and accessibly written, this is an essential text for students and scholars of media, communication, cultural studies, and sociology as well as general readers.

This book examines the use and potential impact of deepfakes, a type of synthetic computer-generated media, primarily images and videos, capable of both creating artificial representations of non-existent individuals and showing actual individuals doing things they did not do. As such, deepfakes pose an obvious threat of manipulation and, unsurprisingly, have been the subject of a great deal of alarmism in both the news media and academic articles. Hence, this book sets out to critically evaluate potential threats by analyzing human susceptibility to manipulation and using that as a backdrop for a discussion of actual and likely uses of deepfakes. In contrast to the usual threat narrative, this book will put forward a multi-sided picture of deepfakes, exploring their potential and that of adjacent technologies for creative use in domains ranging from film and advertisement to painting. The challenges posed by deepfakes are further evaluated with regard to present or forthcoming legislation and other regulatory measures. Finally, deepfakes are placed within a broader cultural and philosophical context, focusing primarily on posthumanist thought. Therefore, this book is a must-read for researchers, students, and practitioners of political science and other disciplines, interested in a better understanding of deepfakes.

Deep Fakes: Algorithms and Society focuses on the use of artificial intelligence technologies to produce fictitious photorealistic audiovisual clips that are indistinguishable from traditional video media. For over a century, the indexical relationship of the photographic image, and its related media of film and video, to the scene of capture has served as a basis for truth claims. Historically, the iconicity of these images has featured a causal traceback to actual light rays in a particular time and space, which were fixed by chemical reactions or digital sensors to the resultant image. Today, photorealistic audiovisual media can be generated from deep learning networks that sever any connection to an actual event. Should society instantiate new regimes to manage this new challenge to our sense of reality and the traditional evidential capacities of the ‘mechanical image’? How do these images generate information disorder while also providing the basis for legitimate tools used in entertainment and creative industries? Scholars and students from many backgrounds, as well as policymakers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by deep fake research from Communication, International Studies, Writing and Rhetoric.

Master the innovative world of deepfakes and generative AI for face replacement with this full-color guide Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesUnderstand what deepfakes are, their history, and how to use the technology ethicallyGet well-versed with the workflow and processes involved to create your own deepfakesLearn how to apply the lessons and techniques of deepfakes to your own problemsBook Description Applying Deepfakes will allow you to tackle a wide range of scenarios creatively. Learning from experienced authors will help you to intuitively understand what is going on inside the model. You'll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap. We'll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful. No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We'll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking. By the end of the book, you'll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs. What you will learnGain a clear understanding of deepfakes and their creationUnderstand the risks of deepfakes and how to mitigate themCollect efficient data to create successful deepfakesGet familiar with the deepfakes workflow and its stepsExplore the application of deepfakes methods to your own generative needsImprove results by augmenting data and avoiding overtrainingExamine the future of deepfakes and other generative AIsUse generative AIs to increase video content resolutionWho this book is for This book is for AI developers, data scientists, and anyone looking to learn more about deepfakes or techniques and technologies from Deepfakes to help them generate new image data. Working knowledge of Python programming language and basic familiarity with OpenCV, Pillow, Pytorch, or Tensorflow is recommended to get the most out of the book.

Choosing the right technologies to match student learning outcomes in today's technology-integrated classrooms presents educators and instructional designers with multiple curricula and instructional design challenges including selecting appropriate technologies to match desired student learning outcomes. As students continue to have broad access to information from a variety of web-based platforms, educators and educational professionals are increasingly tasked with ensuring the information used to complete key assignments or tasks is authentic and from a verifiable resource. As such, the era of deep fakes in images, audios, videos, and digital texts is more prevalent than ever as numerous programs using artificial intelligence (AI) can significantly alter original content to fundamentally change the intent of original content. Moreover, students are being bombarded by a plethora of information that is either intentionally or mistakenly false and must be navigated with care. Accordingly, educators and educational professionals are now tasked with employing best practices to not only teach basic digital literacy and citizenship skills but also to recognize how technology-immersed learning environments interact with deep fakes and misinformation while equipping students with the tools necessary to recognize authentic and altered content. Deep Fakes, Fake News, and Misinformation in Online Teaching and Learning Technologies is a critical reference source that addresses rising concerns of students’ ability to navigate the multitude of false and altered information and content that is easily accessible through online platforms. The chapters go into deeper detail about how deep fakes, fake news, and mis- and dis-information have the potential of negatively affecting the fields of teaching and learning and the importance of student access to content-related tasks from legitimate, vetted resources that accurately reflect the desired information the student means to convey. The book seeks to reinforce the importance of digital literacy and digital citizenship among adolescents. This book is essential for teaching faculty, higher education faculty, higher education administrators, educational software developers, security specialists, information specialists, media specialists, librarians, educational researchers, and students looking for information on how deep fakes and fake news are being navigated within the context of online teaching and educational technologies.

The digital age has ushered in an era of incredible innovation, but it's also opened the door to new threats. Deepfakes, hyper-realistic manipulated videos and images, are blurring the lines between truth and fiction. Malicious actors can use deepfakes to create fake news that sways elections, fabricate celebrity scandals to damage reputations, or even launch targeted attacks against businesses. This loss of trust can have a devastating impact on individuals, society as a whole, and especially organizations struggling to maintain brand integrity and secure operations. Navigating the World of Deepfake Technology equips you to understand deepfakes, from their work to the legal issues surrounding them. It also provides practical strategies to identify deepfakes and mitigate their risks, empowering you to protect yourself and your organization. Whether you're a business leader, journalist, or simply someone concerned about the impact of deepfakes, this book is essential reading. It's your key to staying informed and safeguarding yourself in a world increasingly reliant on digital media.

Imagine a world where videos can't be trusted. This isn't science fiction - it's the age of deepfakes. This e-book cuts through the confusion and equips you to: Spot Fake News: Learn how deepfakes are made and red flags to watch for. Unlock the Potential: Discover the creative uses of deepfakes in entertainment, education, and art. Protect Yourself: Safeguard your identity and online safety from deepfake misuse. Don't be fooled. Get ahead of the curve with this comprehensive guide to deepfakes.

"The Deepfake Dilemma" delves into the complex interplay of artificial intelligence (AI) and blockchain technology, exploring the emergence of deepfakes and the challenges they pose in today's digital landscape. Through comprehensive analysis, Mehran Muslimi elucidates the risks inherent in deepfake technology, from misinformation and privacy breaches to legal and ethical quandaries. However, amidst these challenges, the book uncovers profound opportunities for innovation and advancement. Muslimi explores how AI and blockchain can be harnessed to combat deepfakes, enhance cybersecurity, and foster trust and transparency in digital transactions.

The integration of human rights, social responsibility, and technical innovation acquires significant importance in the current era of digital transformation. As technology rapidly evolves, it profoundly influences societal structures, economic systems, and individual lives. It is essential to examine the impact of digital transformation on human rights and social responsibility, and emphasize the importance of striking a balance that upholds individual rights while leveraging technological advances for the benefit of society as a whole. Challenges for Digital Citizenship and Ethics: Social Media, Deep Fakes, and Virtual Communities analyzes the implications of digitalization on human rights and social responsibility. By adopting a multidisciplinary approach, this research combines perspectives from the fields of digital ethics, information technology, law, and social sciences. It examines the impact of digital technologies on privacy and data rights, assess the strategies utilized by corporations in the digital age to uphold human rights, and explore the policy and legal frameworks required to assure the ethical adoption of technology. Covering topics such as cybercrimes, digital literacy, and societal dynamics, this book is an excellent resource for policymakers, sociologists, researchers, academicians, educators, students, and more.