生成和鉴伪的对抗性非常强，需要持续长期投入。 "我该怎么证明我是我？" 11月5日，温峥嵘抖音账号进行三次以"我是真的温峥嵘"为主题的直播，讲述近期被AI伪造、AI换脸直播带货的情况，并强调除了经过平台黄V认证演员身 份的主账号，以及个别几个经过主账号授权的小号外，其他均为盗用、冒用账号。 近日，演员温峥嵘在抖音直播间自曝被AI换脸盗播，多个直播间出现其带货形象，在直播间提问"你是温峥嵘我是谁"后反而被对方拉黑。 该案例引发多方重视。11月6日晚间，抖音集团副总裁李亮发文称，这两天，温峥嵘被AI盗播带货的新闻关注度很高。经核查后发现，被曝光的"三个直播间 同时开播"案例并非发生在抖音平台。经过与相关方联系，并根据投诉线索核查，发现平台上确实存在一些利用AI仿冒名人带货的短视频内容。 李亮同时强调，AI内容侵权识别是行业性技术难题，恶意仿冒账号也在不断与平台进行技术对抗，平台会持续加大投入应对挑战，维护创作者、商家和消 费者的合法权益。第一财经据此梳理AI换脸与伪造黑灰产链条，多位网络安全专家强调，AI攻防战役是一场需要长期投入的"猫鼠游戏"，涉及法律法规、技 术手段与平台治理等多方面。 事件引发热议起因于有网 ...

Core Viewpoint - The rise of AI-generated content poses legal and ethical challenges, particularly regarding voice imitation and potential misuse for scams [1][2] Group 1: Legal and Ethical Concerns - Unauthorized use of individuals' voices for AI-generated content infringes on their rights, highlighting the need for regulation [1] - AI-generated voices can be exploited for fraudulent activities, such as scam calls and child abduction schemes, raising significant safety concerns [1] Group 2: Regulatory Measures - The implementation of the "AI Marking Method" in September mandates that all AI-generated content must be labeled, enhancing public awareness and safety [1] - The requirement includes specific labeling for AI-generated audio, which can serve as a tool for fraud prevention [1] Group 3: Industry Compliance - Initial tests revealed that some applications failed to comply with the new AI labeling regulations, but subsequent checks showed improvements in compliance across most applications [2]

"Inc. 5000" 是美国商界极具声望的年度榜单，旨在评选全美增长最快的私营企业。该排名依据企业过去三年的营收增长率进行，被视为衡量创新和市场潜 力的重要风向标。历史上，像微软、甲骨文、 Intuit 等如今家喻户晓的科技巨头都曾登上此榜单。 那么，这家成立于 2020 年的公司究竟是如何在短短几年内实现爆炸式增长，从众多竞争者中脱颖而出的呢？在《 Inc. 》杂志的这篇深度报道中，其创始人 兼 CEO Jeff Lu 分享了公司成功的关键策略与心路历程，为我们揭示了 Akool 如何从一个想法，最终成长为全美增长最快的公司。 图片来源： Inc. 人工智能初创公司 Akool 荣登 2025 年度 "Inc. 5000" 榜单榜首，成为美国增长最快的私营企业。 凭借卓越的 AI 换脸技术，赢得可口可乐的青睐，成功打造了现象级的全球营销活动。 自主研发 " 数字人模型 " ，并持续创新实时视频翻译与流媒体虚拟人（ Streaming Avatar ）技术，领先于谷歌、 OpenAI 等巨头。 公司成立于 2020 年， 2025 年收入已达 4000 万美元，员工规模增至约 100 人。 | ਜੀ | | ...

Core Viewpoint - The article discusses the dual nature of AI face-swapping technology, highlighting its potential for creative expression while also emphasizing the significant legal and ethical issues arising from its misuse, particularly in the context of fraud and copyright infringement [1][11][16]. Group 1: AI Face-Swapping Technology and Its Implications - AI face-swapping technology has lowered creative barriers, encouraging user-generated content and increasing the popularity of various media [1][11]. - However, the misuse of this technology has led to serious legal violations, including identity theft and unauthorized use of public figures' likenesses for commercial gain [1][10][12]. - The case of Wang Yuheng, known as "Water Brother," illustrates the risks associated with AI face-swapping, as he discovered unauthorized videos using his likeness to promote products without his consent [2][5][9]. Group 2: Legal Challenges and Regulatory Gaps - The current legal framework is inadequate to address the rapid development of AI face-swapping technology, with existing laws failing to specifically regulate its use [13][14]. - There are significant challenges in proving damages and establishing liability in cases of AI face-swapping infringement, leading to low deterrent effects for violators [15][17]. - Experts call for the development of specific regulations to govern AI technologies, including clearer definitions of liability and compensation standards [16][17]. Group 3: Recommendations for Improvement - A multi-faceted regulatory approach is necessary, involving timely updates to laws and proactive measures from technology developers and platforms to prevent misuse [16][18]. - Implementing detection mechanisms and digital watermarks could help trace and identify unauthorized content, enhancing accountability [18][19]. - Public awareness campaigns are essential to educate users about the risks associated with AI-generated content and to promote responsible usage [19][20].

Group 1 - The article highlights the diverse roles and skills acquired by the journalist, transitioning from a financial reporter to a multifaceted researcher and content creator in the digital finance sector [2][3] - The journalist has produced 15 research reports in the digital finance field over seven years, starting from a focus on internet finance supervision and evolving into broader industry insights [3][6] - The journalist emphasizes the importance of continuous learning and adaptation in the rapidly changing financial and technological landscape, engaging in various research topics including aging, digital life, and artificial intelligence [8][9] Group 2 - The journalist's work includes in-depth investigations into illegal practices in the financial sector, contributing to significant reports that have been referenced by peers and industry professionals [5][6] - The journalist has also ventured into video content creation, launching several short video series aimed at educating the public on financial topics and industry trends, showcasing a blend of serious journalism with creative outreach [9][10] - The upcoming video series "AI又整啥?" aims to address AI risks and trends in an engaging manner, reflecting the industry's shift towards integrating technology in content delivery [10][11]