Core Points - The "Regulations on the Identification of AI-Generated Synthetic Content" officially took effect on September 1, requiring explicit and implicit labeling of AI-generated content [1][4] - There are still unmarked synthetic videos despite the new regulations, indicating ongoing issues with compliance and enforcement [1][5] Group 1: Regulations Overview - The regulations were established by multiple government bodies, including the National Internet Information Office and the Ministry of Industry and Information Technology, consisting of 14 articles [4] - AI-generated synthetic content includes text, images, audio, video, and virtual scenes created using AI technology [4] - Explicit labeling must be clearly perceivable by users, while implicit labeling involves technical measures that are less noticeable [4] Group 2: Industry Concerns - Investigations revealed that individuals are exploiting AI to create deep fakes for misleading advertising, leading to a gray market for account trading and content monetization [4][5] - High engagement rates were noted for unmarked synthetic videos, with some accounts generating significant traffic and selling various products without proper disclosure [5] - Experts emphasize the need for platforms to take responsibility for content verification and to prevent the spread of misinformation that could harm public interests [5]

Core Insights - The rise of AI technology is significantly transforming the landscape of cognitive warfare, making it increasingly difficult to discern truth from falsehood, lowering operational thresholds, and enhancing dissemination efficiency [1][5][11] Group 1: AI's Impact on Information Production and Dissemination - The number of websites generating false articles increased by over 1000% from May to December 2023, covering 15 languages [1][5] - AI's self-learning and optimization capabilities have led to the intelligent and customized spread of misinformation, making it harder to distinguish between true and false information [5][6] - AI-generated false images spread on social media at a rate six times faster than real content, demonstrating the destructive chain reaction of rapid misinformation dissemination [8] Group 2: Changes in Cognitive Warfare Dynamics - Cognitive warfare is evolving into a "big market" model where non-state actors, social media, and individuals can participate, shifting the dynamics of influence [7][15] - The operational threshold for engaging in cognitive warfare has decreased, allowing individuals to conduct large-scale information attacks with minimal resources [6][7] - The efficiency of information dissemination has increased dramatically, with AI's exponential capabilities enabling rapid global engagement on specific topics [7][8] Group 3: Systemic Risks and Challenges - AI's deep involvement in data collection, content production, and distribution creates a more systemic and covert value penetration model, posing multidimensional impacts on societal value systems [1][11] - The reliance on biased AI models can mislead users and distort their value judgments, as seen in the training data of AI models that may reflect inherent biases [12][13] - The recommendation algorithms can reinforce "information echo chambers," leading to a loss of awareness of diverse information and increasing societal fragmentation [12][14] Group 4: Governance and Regulatory Frameworks - Experts suggest the need for a comprehensive governance framework addressing technical defenses, talent reserves, legal regulations, and international collaboration to safeguard against AI-related risks [2][15] - The establishment of a "cognitive immune system" is essential to counteract the rapid spread of false information, with recent regulations mandating identification for AI-generated content [18][19] - International cooperation is crucial for creating a unified AI governance framework, which is not only a matter of technical ethics but also a strategic opportunity for enhancing global influence [19]

Core Viewpoint - The rapid advancement of AI technology, while expanding creative possibilities, has also facilitated the rise of sophisticated scams, necessitating enhanced regulatory measures and legal frameworks to combat these emerging threats [1][4][5]. Group 1: Trends in Cybercrime - The number of telecom network fraud cases has been increasing, with over 40,000 cases and more than 82,000 defendants adjudicated in 2024, marking a year-on-year increase of 29.4% and 26.7% respectively [4]. - Cybercriminal organizations are becoming more organized, large-scale, and group-oriented, with some operating as major criminal syndicates that effectively deceive victims [4][5]. - The trend of younger individuals, including students, becoming involved in cybercrime is notable, with a significant rise in cases related to telecom fraud and assistance in cybercrime activities [13]. Group 2: Challenges in Judicial Response - The use of AI technologies in scams presents significant challenges for law enforcement, including difficulties in evidence collection and case processing due to the sophisticated nature of these crimes [5][6]. - There is a pressing need for legal frameworks to evolve in response to the rapid development of technology, as existing regulations are often outdated and insufficient [5][6]. - The need for enhanced public awareness and prevention strategies is critical, especially as scammers increasingly target vulnerable populations [5][6]. Group 3: Regulatory and Legal Measures - The Supreme Court plans to strengthen legal support by developing timely regulatory documents to ensure accurate identification and comprehensive punishment of telecom fraud crimes [6][8]. - A focus on improving legal literacy and public awareness campaigns is essential to empower citizens to recognize and avoid scams [6][7]. - The establishment of a robust tracking and tracing system for deepfake technology is necessary to prevent misuse and facilitate accountability [10]. Group 4: International Cooperation - There is an emphasis on enhancing international cooperation to combat cross-border telecom fraud, including the establishment of information-sharing mechanisms and joint law enforcement actions [7][8]. - The development of advanced anti-fraud technologies and platforms is crucial for improving detection and prevention capabilities against international fraud networks [7].