On October 24, during the 33rd China International Advertising Festival, the “Blue Book on Internet Advertising Governance in the AIGC Era” was officially released. Currently, another aspect of efficiency improvements brought about by AIGC technology is risk escalation: black and gray production uses AI to generate high-fidelity materials in batches and falsify authoritative endorsements, which is difficult to deal with with manual review alone. Faced with these new risks, the Blue Book provides management methods throughout the entire advertising process: the risks are divided into four categories: content violations, technical confrontations, transaction links, and new scenarios, and put forward suggestions from eight aspects. For example, the Blue Book presents a practical approach to “using AI to govern AI”: the first step in governance is to clearly see risk. Using a multi-modal large model to read, read, and listen at the same time, you can not only understand the surface meaning, but also determine whether it is illegal based on the context. Xiao Tao, head of the commercial security content security strategy at Massive Engine, explained that with an intelligent review system, 90% of materials can be reviewed within 10 minutes as quickly as possible, improving efficiency by 75%. In addition, the AI application platform also incorporates user feedback into governance to provide special protection for the elderly and minors. The elderly can provide evidence with a “zero threshold” and have direct access to manual customer service. Parents use standardized templates to report problems, and some issues can be solved on the same day. After the standards were unified, the platform maintained normalized risk monitoring and inspection, and investigated risk trends in advance around high-incidence issues; quickly identified and updated interception strategies in a timely manner to promote identification and disposal of new variants; and continued to iterate identification models and review rules to strictly deal with subjects that maliciously falsified and repeatedly punished until they were blocked and removed, and those suspected of breaking the law were reported or cooperated with the investigation and punishment in accordance with the law.
Zhitongcaijing · 2d ago
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On October 24, during the 33rd China International Advertising Festival, the “Blue Book on Internet Advertising Governance in the AIGC Era” was officially released. Currently, another aspect of efficiency improvements brought about by AIGC technology is risk escalation: black and gray production uses AI to generate high-fidelity materials in batches and falsify authoritative endorsements, which is difficult to deal with with manual review alone. Faced with these new risks, the Blue Book provides management methods throughout the entire advertising process: the risks are divided into four categories: content violations, technical confrontations, transaction links, and new scenarios, and put forward suggestions from eight aspects. For example, the Blue Book presents a practical approach to “using AI to govern AI”: the first step in governance is to clearly see risk. Using a multi-modal large model to read, read, and listen at the same time, you can not only understand the surface meaning, but also determine whether it is illegal based on the context. Xiao Tao, head of the commercial security content security strategy at Massive Engine, explained that with an intelligent review system, 90% of materials can be reviewed within 10 minutes as quickly as possible, improving efficiency by 75%. In addition, the AI application platform also incorporates user feedback into governance to provide special protection for the elderly and minors. The elderly can provide evidence with a “zero threshold” and have direct access to manual customer service. Parents use standardized templates to report problems, and some issues can be solved on the same day. After the standards were unified, the platform maintained normalized risk monitoring and inspection, and investigated risk trends in advance around high-incidence issues; quickly identified and updated interception strategies in a timely manner to promote identification and disposal of new variants; and continued to iterate identification models and review rules to strictly deal with subjects that maliciously falsified and repeatedly punished until they were blocked and removed, and those suspected of breaking the law were reported or cooperated with the investigation and punishment in accordance with the law.
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