"Internet Advertising Governance Blue Book in the AIGC Era" Released, Advocating "Using AI to Govern AI"
The "Internet Advertising Governance Blue Book in the AIGC Era" was released on October 24 during the 33rd China International Advertising Festival. It categorizes advertising risks into four types—content violations, technical confrontation, transaction links, and new scenarios—and puts forward governance recommendations from eight aspects. The blue book advocates "using AI to govern AI," employing multimodal large models to simultaneously view images, read text, listen to audio, and consider context to determine violations. Ocean Engine introduced that, relying on its intelligent review system, 90% of materials complete review within as fast as 10 minutes, with efficiency improved by 75%.
Body · AI translation
According to China News Service, on October 24, during the 33rd China International Advertising Festival, the "Blue Book on Internet Advertising Governance in the AIGC Era" was officially released. At present, the other side of the efficiency gains brought by AIGC technology is escalating risk: black and gray industries use AI to generate highly realistic materials in bulk and forge authoritative endorsements, making it difficult to cope with them through manual review alone. Faced with these new risks, the blue book provides governance methods that run through the entire advertising delivery process: risks are divided into four categories—content violations, technical confrontation, transaction links, and new scenarios—and recommendations are put forward from eight aspects. For example, the blue book presents a practical method of "using AI to govern AI": the first step in governance is to see the risks clearly. Using multimodal large models to simultaneously look at images, read text, and listen to audio can not only understand the surface meaning but also connect the context to determine whether there is a violation. Xiao Tao, head of content security strategy for business security at Ocean Engine, introduced that, relying on the intelligent review system, 90% of materials complete review within 10 minutes at the fastest, with efficiency improved by 75%.