明星们，要被“假带货”玩坏了

Core Viewpoint - The rise of AI-generated voice fraud in advertising has led to widespread misuse of celebrity likenesses and voices, creating a new wave of commercial deception that is difficult for consumers to detect [1][10][18]. Group 1: AI Voice Fraud Incidents - Numerous fake accounts have emerged on short video platforms, using AI to create deceptive advertisements featuring celebrities like Quan Hongchan, who are shown promoting unrelated products [2][3]. - High-profile figures, including Zhang Wenhong and Lei Jun, have also been victims of AI voice scams, with their likenesses used in misleading marketing campaigns [8][19]. - The technology allows for the creation of highly realistic fake videos, making it challenging for consumers to discern authenticity, as seen in the case of Zhang Xinyu, who had her voice cloned to promote weight loss products [11][12]. Group 2: The Technology Behind AI Voice Cloning - AI voice cloning technology can replicate a person's voice using minimal samples, making it accessible for anyone to create fake content [22][24]. - The proliferation of AI voice apps has made it easy for users to generate celebrity-like voices for as little as 10 yuan, leading to a surge in fraudulent activities [25][26]. - The low cost and ease of access to AI voice cloning tools have contributed to the rapid growth of this gray market, with many individuals unaware of the potential for misuse [15][27]. Group 3: Regulatory and Societal Responses - There is a growing recognition of the need for legal frameworks to address AI-generated content, with recent court rulings affirming the protection of individuals' voice rights against unauthorized use [28]. - New regulations, such as a "whitelist system," are being introduced to help identify AI-generated content, although the effectiveness of these measures remains uncertain [29]. - The societal implications of AI voice fraud raise concerns about the future of authenticity in media, necessitating a cultural shift towards skepticism and verification of content [27][29].