Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust. With the increasing accessibility of generative AI, tools for voice cloning, face-swapping, and synthetic media creation have advanced significantly, lowering both financial and technical barriers for their use. While these technologies present innovative opportunities, their rapid growth raises concerns about trust, privacy, and security. This white paper explores the implications of deepfake technology, analyzing its role in enabling fraud, misinformation, and the erosion of authenticity in multimedia. Using cost-effective, easy to use tools such as Runway, Rope, and ElevenLabs, we explore how realistic deepfakes can be created with limited resources, demonstrating the risks posed to individuals and organizations alike. By analyzing the technical and ethical challenges of deepfake mitigation and detection, we emphasize the urgent need for regulatory frameworks, public awareness, and collaborative efforts to maintain trust in digital media.

翻译：随着生成式人工智能的日益普及，语音克隆、人脸替换与合成媒体创作工具已取得显著进展，大幅降低了使用该技术的财务与技术门槛。尽管这些技术带来了创新机遇，其迅猛发展亦引发了对信任、隐私与安全问题的担忧。本白皮书深入探讨深度伪造技术的影响，分析其在助长欺诈、传播虚假信息及削弱多媒体内容真实性方面的作用。通过使用Runway、Rope及ElevenLabs等高性价比且易于操作的工具，我们探究了如何以有限资源制作逼真的深度伪造内容，揭示其对个人与组织构成的潜在风险。通过剖析深度伪造治理与检测面临的技术及伦理挑战，我们强调亟需建立监管框架、提升公众意识并加强多方协作，以维护数字媒体领域的信任基础。