Artificial Intelligence has transformed multiple sectors, from healthcare and finance to entertainment and education, by enabling automation, improving efficiency, and enhancing decision-making. The advancements have also introduced challenges, particularly in AI-generated disinformation. This chapter explores the rise of AI-generated disinformation, focusing on two prominent technologies: deepfakes and voice cloning. Deepfakes manipulate visual and audio content, creating highly realistic media that falsely depict individuals in fabricated scenarios, while voice cloning synthesizes human speech with remarkable accuracy, mimicking specific voices. Though initially developed for legitimate uses, both technologies are exploited for malicious purposes, including political manipulation, identity theft, and fraud. AI-generated disinformation blurs the line between truth and falsehood, erodes trust in digital media and presents significant ethical, legal, and social challenges. This chapter provides an overview of the techniques behind deepfakes and voice cloning, their evolution, and their potential impacts on personal privacy, public trust, and global security. It also discusses emerging detection tools, legal frameworks, and public education initiatives to counter AI-generated disinformation. It also addresses the ethical considerations of using AI in media creation, calling for responsible innovation to mitigate the risks associated with this growing threat. The need for collaborative efforts between technologists, policymakers, and educators to safeguard societal trust in the digital age is emphasized as AI capabilities evolve.

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The Anatomy of AI-Generated Disinformation from Deepfakes to Voice Cloning

  • Anupriya Sharma Ghai,
  • Sanjay Jasola,
  • Ramesh Chander Sharma,
  • Andreia de Bem Machado,
  • Maria Jose Sousa,
  • Kapil Ghai

摘要

Artificial Intelligence has transformed multiple sectors, from healthcare and finance to entertainment and education, by enabling automation, improving efficiency, and enhancing decision-making. The advancements have also introduced challenges, particularly in AI-generated disinformation. This chapter explores the rise of AI-generated disinformation, focusing on two prominent technologies: deepfakes and voice cloning. Deepfakes manipulate visual and audio content, creating highly realistic media that falsely depict individuals in fabricated scenarios, while voice cloning synthesizes human speech with remarkable accuracy, mimicking specific voices. Though initially developed for legitimate uses, both technologies are exploited for malicious purposes, including political manipulation, identity theft, and fraud. AI-generated disinformation blurs the line between truth and falsehood, erodes trust in digital media and presents significant ethical, legal, and social challenges. This chapter provides an overview of the techniques behind deepfakes and voice cloning, their evolution, and their potential impacts on personal privacy, public trust, and global security. It also discusses emerging detection tools, legal frameworks, and public education initiatives to counter AI-generated disinformation. It also addresses the ethical considerations of using AI in media creation, calling for responsible innovation to mitigate the risks associated with this growing threat. The need for collaborative efforts between technologists, policymakers, and educators to safeguard societal trust in the digital age is emphasized as AI capabilities evolve.