AI污染的治理困境与范式革新:挑战、溯源与制度优化

The governance dilemma and paradigm innovation of AI pollution: challenges, traceability, and institutional optimization

  • 摘要: 数字时代浪潮下,“公地悲剧”现象不断上演。虚假信息的工业化生产与泛滥、公众理性与判断力的匮乏、信息市场转向注意力战场的异化以及“后真相”状态下共识机制的失效,共同构成信息生态的失序与失真。究其根源,是技术、资本与科学构成的“三位一体”结构的深层失衡——技术层中工具理性对价值理性的僭越,资本层中资本扩张对科技发展的侵蚀,以及科学层中治理体系固化与技术流动之间的张力。对此,应转向协同共治的数字生态范式,具体措施包括:将伦理维度深度嵌入技术设计的全流程;推动人机共生认知能力的建设;构建涵盖事前预防、事中监控、事后处置的全链条治理逻辑;明确数据质量责任,确保数据信息的真实性;完善生成式人工智能的自治规范及相关法律法规体系。以期为构建一个健康、有序的信息生态系统提供坚实的理论支撑和可行的实践路径。

     

    Abstract: Amid the wave of the digital age, the "tragedy of the commons" continues to unfold. The industrialized production and rampant spread of disinformation, the deficiency in public rationality and judgment, the alienation of the information market into a battlefield for attention, and the breakdown of consensus mechanisms in a "post-truth" environment collectively contribute to the disorder and distortion of the information ecosystem. At its root lies a profound imbalance within the "trinity" structure formed by technology, capital, and science—manifested by the overreach of instrumental rationality over value rationality in the technological sphere, the erosion of scientific and technological progress by capital expansion in the capital sphere, and the tension between rigid governance systems and the fluidity of technology in the scientific sphere. In response, a shift toward a collaborative governance paradigm for the digital ecosystem is imperative. Specific measures include: deeply embedding ethical considerations throughout the entire lifecycle of technological design; advancing the development of human-machine symbiotic cognitive capabilities; establishing a comprehensive governance logic encompassing preemptive prevention, real-time monitoring, and post-event resolution; clarifying data quality responsibilities to ensure the authenticity of data and information; and improving the autonomous regulations and legal frameworks for generative artificial intelligence. These efforts aim to provide a solid theoretical foundation and practical pathways for fostering a healthy and orderly information ecosystem.

     

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