Deepfake Video Call


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Deepfakes


Deepfakes

Author: Graham Meikle

language: en

Publisher: John Wiley & Sons

Release Date: 2022-09-22


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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.

Mastering Deepfake Technology: Strategies for Ethical Management and Security


Mastering Deepfake Technology: Strategies for Ethical Management and Security

Author: Sanjay Taneja

language: en

Publisher: CRC Press

Release Date: 2025-08-08


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This book offers a comprehensive exploration of the profound challenges and opportunities presented by deepfake technology across industries, society, and governance. It delves into the multifaceted impacts of synthetic media, examining its potential to reshape corporate trust, economic stability, and public discourse while emphasizing strategies to build resilience and ethical frameworks. Key themes include the role of intellectual capital in safeguarding corporate reputation, the risks of deepfake fraud in financial markets, and the implications for insurance, banking, and fintech sectors. Through cross-disciplinary analyses, the book unravels the disruptive influence of deepfakes on political affairs, economic policies, and corporate transparency. Highlighting real-world case studies, it addresses workplace resilience, data-driven decision-making, and the intersection of deepfake technology with marketing innovation and job satisfaction. From social media marketing to public trust and privacy concerns, the book offers actionable insights for navigating the ethical dilemmas posed by synthetic media. With a focus on collaboration across disciplines, the book equips readers with strategies for mitigating risks, promoting media literacy, and leveraging AI responsibly. Mastering Deepfake Technology is an essential guide for academics, professionals, and policymakers seeking to understand and address the complexities of this emerging frontier.

Agentic AI


Agentic AI

Author: Ken Huang

language: en

Publisher: Springer Nature

Release Date: 2025-07-11


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This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances. The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits. Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.