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瞭望 | 推进人工智能法律治理体系化
Xin Hua She· 2025-07-07 08:21
Core Viewpoint - The development of artificial intelligence (AI) technology presents significant challenges for legal governance, necessitating a flexible and adaptive legal framework that balances innovation and safety [1][10]. Group 1: Current Legal Framework - China has established a preliminary legal framework for AI, including regulations like the "Deep Synthesis Management Regulations" and "Interim Measures for the Management of Generative AI Services," which provide foundational legal support for industry development [2][3]. - Strategic directives from the 20th National Congress emphasize the importance of improving AI development and management mechanisms, indicating a strong governmental focus on AI governance [2][3]. - The adjustments in the legislative plans for 2025 reflect a strategic consideration for promoting healthy AI development rather than diminishing the importance of legislation [2][3]. Group 2: Challenges in AI Legal Governance - The rapid advancement of AI technology and its diverse applications create challenges in governance concepts, responsibility attribution, and data management [5][6]. - Traditional legal frameworks often fail to align with the unique characteristics of AI technology, leading to potential gaps in legal adaptability [6]. - The blurred lines of responsibility among developers, deployers, and users in the AI value chain complicate the traditional fault-based liability mechanisms [7][8]. Group 3: Proposed Solutions - An adaptive governance approach is recommended to accommodate the uncertainties and unknowns associated with AI technology, ensuring a balance between development and safety [10][11]. - Establishing a clear responsibility-sharing mechanism and improving data governance frameworks are essential to address the complexities of AI development and usage [11][12]. - Enhancing international cooperation and global governance participation is crucial for the sustainable development of AI technology, particularly in addressing the challenges faced by Chinese AI companies operating abroad [12].