Core Viewpoint - The implementation of the "Identification Methods for AI-Generated Synthetic Content" aims to establish explicit and implicit identifiers for AI-generated content, ensuring clarity between real information and imagination, and promoting responsible AI integration into the physical world [2][3]. Group 1: AI Regulation and Identification - The new regulations require all AI-generated content to include identifiers, which serve as a foundation for trust and legal accountability in the information provided by AI [2]. - Explicit identifiers clarify the responsibilities of AI service providers, while implicit identifiers help users assess potential deceptive practices associated with AI-generated content [2][3]. - The identification of AI-generated content is not only a regulatory measure but also a step towards integrating AI into the real world with a structured legal framework [2][4]. Group 2: AI and Human Interaction - The rise of AI Agents is accelerating the integration of AI into daily life, necessitating a clear legal relationship between AI and humans based on economic principles [3]. - AI is expected to liberate individuals from mundane tasks, allowing them to focus on more fulfilling activities, which will drive the acceptance of AI advancements [3]. - The coexistence of AI and humans in the physical world is irreversible, with applications in areas like autonomous driving and robotics providing significant benefits [3][4]. Group 3: Global Governance and Cooperation - The recent "Shanghai Cooperation Organization+" meeting highlighted China's initiative for global governance in AI, promoting a fair and inclusive development of AI technologies [3]. - The declaration from the member states emphasizes the importance of international cooperation in AI, aiming for an open and beneficial direction for AI development [3][4]. - Understanding and establishing a shared ethical framework for AI will be crucial for countries to gain a competitive edge in the AI era [4].