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巨量引擎首次披露AI广告治理自研大模型 审核效率提升75%
Huan Qiu Wang· 2025-10-27 02:13
Core Insights - The event highlighted the importance of AI governance in advertising, with a focus on building a comprehensive safety framework to address risks associated with AI-generated ads [1][11] - The company reported intercepting over 840,000 AI-related advertising violations in Q3 of this year, showcasing its commitment to maintaining advertising integrity [2][6] Group 1: Governance and Risk Management - The company has established a full-process governance system to tackle three major risks of AI advertising: violation of public morals, infringement, and false advertising [2] - A multi-tiered response system has been implemented for handling violations, including warnings, account restrictions, and account closures [2] - The introduction of the Consumer Complaint Rate (CCR) index has led to a 40% reduction in negative feedback from users regarding advertisements [4] Group 2: Technological Innovations - The self-developed multimodal large model has improved review efficiency by 75%, allowing 90% of materials to be reviewed within 10 minutes [7] - The model can automatically correct common violations in advertisements and provide detailed rejection reasons, enhancing the overall experience for advertisers [7] Group 3: Targeted Services for Vulnerable Groups - The company has launched specialized service projects aimed at protecting elderly and underage users, providing preemptive support in case of advertising-related disputes [8][9] - Over 3,000 individuals have benefited from these services, with a user satisfaction rate of 92.5% [9] Group 4: Collaborative Governance - Experts emphasize the need for cross-sector collaboration in AI governance, advocating for stronger regulatory measures and platform accountability [11]
前置拦截违规素材84万+ 巨量引擎强化AI广告风险管控
Yang Zi Wan Bao Wang· 2025-10-26 10:45
Core Insights - The article discusses the measures taken by the company to enhance advertising safety through AI technology and a comprehensive governance system, highlighting the interception of over 840,000 AI-related advertising violations in Q3 of this year [1][2]. Group 1: Advertising Safety Measures - The company has established a full-process governance system to address three major risks associated with AI advertising: violation of public order, infringement, and false advertising [2]. - A multi-dimensional feedback mechanism called the Consumer Complaint Rate (CCR) has been introduced, which integrates user comments, reports, and complaints, resulting in a 40% decrease in negative feedback on advertisements this year [4]. Group 2: Technological Innovations - The company has developed a self-researched multi-modal large model that can review 90% of advertising materials within 10 minutes, improving review efficiency by 75% compared to traditional methods [7]. - The large model can automatically correct common violations in advertising materials and provide detailed rejection reasons, enhancing the overall efficiency and experience for advertisers [7]. Group 3: Targeted Services for Vulnerable Groups - The company has launched specialized service assurance projects for elderly and minor groups, providing preemptive support for users facing consumption disputes due to advertisements [9]. - The initiative has served over 3,000 individuals, achieving a user satisfaction rate of 92.5%, and includes educational efforts to reduce risks for these vulnerable groups [9]. Group 4: Collaborative Governance - Experts emphasize the need for cross-domain collaboration in AI governance, advocating for continuous regulatory enhancement and the establishment of a "co-governance alliance" involving regulators, platforms, and ethical committees [11].
审核效率提升75%,巨量引擎首次披露AI广告治理自研大模型
Xin Lang Ke Ji· 2025-10-25 06:54
Core Insights - The core focus of the news is on the advertising safety measures implemented by the company, particularly in the context of AI-generated advertisements, highlighting their proactive strategies and technological advancements in governance [2][3][4]. Group 1: Advertising Safety Measures - The company introduced a comprehensive governance system to address three major risks associated with AI advertising: violation of public morals, copyright infringement, and false advertising [2]. - In the third quarter of this year, the company successfully preemptively intercepted over 840,000 AI-related advertising violations [2]. - The company has established a multi-tiered response system for violations, including warnings, account restrictions, and permanent bans [2]. Group 2: Technological Innovations - The company unveiled a self-developed multimodal model capable of reviewing 90% of advertising materials within 10 minutes, improving review efficiency by 75% compared to traditional methods [3][4]. - A new Consumer Complaint Rate (CCR) index was introduced, which integrates user feedback and has seen a reduction of over 40% in negative feedback regarding advertisements this year [3]. - The interactive review system can automatically correct common violations in advertising materials and provide detailed rejection reasons, enhancing the efficiency and experience for advertisers [3][4]. Group 3: Targeted Support Initiatives - The company launched specialized service projects aimed at protecting vulnerable groups, such as the elderly and minors, by providing preemptive support in case of advertising-related disputes [5]. - The platform has conducted offline anti-fraud lectures for the elderly and created educational content for minors to raise awareness about advertising risks [5]. - The specialized service has assisted over 3,000 individuals, achieving a user satisfaction rate of 92.5% [5].