摘要
AIGC为元宇宙系统的生成、发展和完善提供了重要的内容支撑。AIGC的深度学习颠覆了原有文化生产结构,以意识范式的通用化和创造力的量化生产数字虚像内容,通过新型人机协同提升内容生产效能。然而,AIGC也面临一些风险,包括文化生产意识的宏观预期超载、拟人化认知倾向的冲突与裂变,以及人机行为准则的决策机制缺陷等。对此,应推进技术长效升级,把握技术演化的平衡机制;坚持以人为本,规范内容生产的价值尺度;设定多元伦理标准,优化人工智能的决策模型。总之,要建构以“人”为中心的AIGC治理框架,赋予人工智能伦理心智,推进AIGC模式的“人文”化和“人本”化。
AIGC provides important content support for the generation,development,and improvement of Metaverse systems.The deep learning of AIGC subverts the original cultural production structure,produces digital virtual image content through the generalization of consciousness paradigms and the quantification of creativity,and enhances the content production efficiency through new human-machine collaboration.However,AICC also faces some risks,including the macro-expectation overload of cultural production consciousness,the conflict and fission of anthropomorphic cognitive tendency,and the defective decision-making mechanism of human-machine code of conduct.In this regard,we should promote the long-term upgrading of technology and grasp the balancing mechanism of technological evolution;adhere to the human-centered approach and regulate the value scale of content production;set multiple ethical standards and optimize the decision-making model of artificial intelligence.In a word,We should construct an AIGC governance framework centered on"human,"empowering artificial intelligence with an ethical mind,and promoting the"humanization"and"human-centeredness"of the AIGC model.
作者
陈世华
徐文婷
Chen Shihua;Xu Wenting
出处
《山东社会科学》
北大核心
2025年第6期174-184,共11页
Shandong Social Sciences
基金
江西省高校人文社会科学规划项目“短视频参与社会治理研究”(项目编号:XW22106)的阶段性成果。
关键词
元宇宙
人工智能
AIGC
人机协同
Metaverse
artificial intelligence
AIGC
human-machine collaboration
