2025年，AI继续狂飙突进，也将互联网广告产业推向一个历史性转折点。生成式人工智能让"千人千 面"的精准投放成为常态，也同样为虚假宣传、身份伪造、技术欺诈披上了更具迷惑性的外衣。当广告 生态的安全攻防，从"人与规则"的对抗，全面升级为"AI与AI"的博弈，平台治理何为？ 同时，平台针对特殊群体推出"一老一少"专项服务保障计划，通过简化举证流程、提供图文指引、设立 快速通道，极大降低了数字鸿沟带来的维权障碍。这一举措体现了平台治理从单纯的风险管控向差异化 人群关怀的拓展。 转自：半月谈网 近日，巨量引擎发布《2025商业信任与安全治理报告》，这份报告不仅系统呈现了一年来平台"全链路 治理+以AI治AI"的实践成果，也折射出互联网广告行业在AI浪潮冲击下，处于风口浪尖的平台将会做 出怎样的应对与思考。 一、"防御+赋能"，构建全链路治理体系 应当看到，生成式AI技术的突破性发展，为广告创意与投放带来了革命性变化。从个性化文案撰写到 多模态素材生成，AI大幅降低了创意生产成本，提升了投放精准度，达到了更好的营销效果。然而， AI在赋能产业升级的同时，也为违规行为提供了新的技术工具与隐蔽手段。 当前，AI广告领域的 ...

Core Insights - The report released by the company highlights the transformation of the advertising industry driven by AIGC technology and the emergence of new security risks [1] - The company has established a comprehensive risk control system based on the principle of "AI governing AI," effectively enhancing user experience and commercial efficiency [1][3] Group 1: AI Governance and Risk Control - The company has developed an intelligent risk control system capable of identifying new risks such as deep forgery and AI agent cheating, with a peak daily handling of over 200,000 black market accounts [3] - The Consumer Complaint Index (CCR) system was introduced to quantify and analyze user complaints, resulting in a 56.2% year-on-year decrease in content CCR and a 67.1% decrease in fulfillment CCR in 2025, significantly improving user advertising experience [3] Group 2: Empowering Compliance and Protecting Vulnerable Groups - The company has transitioned from a "governor" to an "enabler," launching an intelligent compliance support system that includes detailed AI review guidelines and a one-click content correction tool [5] - A special protection plan was introduced for elderly and underage users, resolving issues for over 5,800 individuals with a 91% problem resolution rate, while overall user satisfaction with advertising complaints increased by 11% year-on-year [5] Group 3: Industry Collaboration and Social Responsibility - The company is actively promoting its governance practices as public assets, with its CCR-based advertising experience governance system recognized as an excellent case by the China Advertising Association [8] - The company has engaged in social value creation by producing anti-fraud microfilms and conducting educational sessions on digital literacy in collaboration with law enforcement, addressing 18 criminal cases and apprehending 104 suspects in 2025 [8][9]

Core Insights - The digital human industry is transitioning from a "display" model to a "functional execution" model due to the deep integration of multimodal AI, large models, and AIGC technology [1][4] - The Chinese government has introduced regulations to oversee digital human broadcasters, requiring AI-generated content to be clearly labeled and continuously remind consumers [1][6] Group 1: Industry Growth - The explosive growth of the digital human industry is driven by technological integration, enabling real-time interaction, logical reasoning, and emotional recognition [4] - Digital humans are evolving from static displays to dynamic services, capable of 24/7 live streaming and acting as government assistants or medical consultants [4] - A beauty brand achieved daily sales exceeding 500,000 yuan with a custom digital human broadcaster, showing an 18% higher conversion rate compared to human hosts [4] Group 2: Risks and Challenges - The low entry barrier of digital human technology has made it a perfect tool for spreading false information, with significant financial implications [5] - Cases of identity fraud and malicious prompts leading to unethical or illegal content generation highlight the risks associated with digital human applications [5] - A notable incident involved an AI digital human being manipulated to list products at zero cost, resulting in substantial losses for merchants [5] Group 3: Regulatory Developments - Regulatory authorities are implementing an "AI to govern AI" approach, focusing on legal, technical, and platform aspects to establish a traceability defense [6] - New regulations define compliance boundaries for commercial applications of digital humans, requiring platforms to verify operators and continuously remind consumers about AI-generated content [6] - Major platforms are adopting self-regulatory measures, such as credit evaluation systems and strict penalties for violations, to support regulatory enforcement [6]