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]
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