Core Insights - The article discusses the transformative impact of generative AI on the internet advertising industry, highlighting the dual challenges of enhanced advertising precision and the rise of deceptive practices [1][2] - It emphasizes the need for platforms to adapt their governance strategies in response to the evolving landscape of AI-driven advertising [1][5] Group 1: Full-Chain Governance System - The breakthrough in generative AI has revolutionized advertising creativity and targeting, significantly lowering production costs and improving marketing effectiveness [2] - However, AI also provides new tools for violations, leading to challenges such as hidden placements, deep fakes, and false advertising, which threaten market order [2][3] - The platform has implemented a comprehensive AI governance system that includes content review, risk warning, and recall processes, achieving efficient identification and handling of violations [2][3] - In 2025, the platform intercepted over 10 billion pieces of violating content and shut down more than 4 million violating accounts [2] Group 2: Empowerment and User Experience - The platform integrates AI technology into daily regulatory processes, enhancing the precision of violation identification through multi-modal recognition and semantic understanding [3] - The introduction of the Consumer Complaint Index (CCR) system has led to a 56.2% decrease in content CCR and a 67.1% decrease in fulfillment CCR, indicating improved user advertising experience [3][4] - Special service plans for vulnerable groups have been established to reduce barriers to rights protection, reflecting a shift from risk control to differentiated care [3][4] Group 3: Trust and Social Responsibility - The platform aims to promote transparency in governance and set industry standards, demonstrating a commitment to leading healthy industry development [5][6] - It has participated in the formulation of industry standards and conducted anti-fraud public welfare actions, combining technical capabilities with public education [6] - The platform recognizes that governance innovation should be embedded in a framework of social responsibility and value orientation, prioritizing user trust and ethical technology [7] Group 4: Future Challenges and Expectations - As of June 2025, the user base for generative AI in China reached 515 million, with a penetration rate of 36.5%, indicating a rapidly evolving market landscape [7] - The ongoing evolution of AI technology will present more complex challenges and higher societal expectations for advertising governance [7] - A sustainable balance between innovation and regulation, as well as between commercial value and social responsibility, is essential for long-term success in the industry [7]