人工智能推荐的法律规制研究——基于用户心理保护视角
Research on the Legal Regulation of Artificial Intelligence Recommendations—Based on the Perspective of User Psychological Protection
摘要: 人工智能推荐由于其高效、便捷和低成本等特点,已在多领域广泛使用。但在带来效益的同时,该技术的应用也会给用户心理造成伤害,损害了用户健康权。目前,相关法律规制面临法律界定模糊、监管部门责任复杂、法律救济滞后、技术发展迅速导致规制不足等困境,用户权益难以得到保障。为完善法律规制,需要明确法律界定责任主体,加强执法监管体制、完善法律救济机制并合理引导技术发展。通过这些措施可以更好地保护用户心理健康,促进人工智能技术的健康发展。
Abstract: Artificial intelligence recommendation has been widely used in multiple fields due to its efficiency, convenience and low cost. While bringing benefits, the application of this technology can also cause harm to users’ psychology and impair their right to health. At present, the relevant legal regulation faces the dilemmas of vague legal definition, complicated responsibility of regulatory authorities, lagging legal remedies, and insufficient regulation due to the rapid development of the technology, which makes it difficult to protect the rights and interests of users. In order to improve legal regulation, the main body of responsibility should be clearly defined in the law, the law enforcement and regulatory system should be strengthened, the legal relief mechanism should be improved, and the development of technology should be reasonably guided. Through these measures, the psychological health of users can be better protected and the healthy development of AI technology can be promoted.
文章引用:李龙云, 郁雯珺. 人工智能推荐的法律规制研究——基于用户心理保护视角[J]. 法学, 2025, 13(6): 1255-1260. https://doi.org/10.12677/ojls.2025.136178

参考文献

[1] 李桂华, 王曼旌. 内容平台个性化推荐合理性: 构念与效应[J]. 现代情报, 2025, 45(3): 10-24.
[2] 张帅宇. 论宪法健康权的保护范围[J]. 人权, 2025(2): 123-145.
[3] 陈力铭. 数字经济时代农产品直播电商的“信息茧房”困境及其伦理反思[J]. 西南民族大学学报(人文社会科学版), 2024, 45(7): 141-148.
[4] 郭亚军, 李天祥, 冯思倩, 等. 算法推荐、信息茧房与“附近的消失” [J]. 图书情报知识, 2025, 42(2): 156-166.
[5] 肖剑忠, 黄蓉. 生成式人工智能应用下网络民粹主义的风险审视与应对策略[J]. 观察与思考, 2025(4): 94-104.
[6] 魏亚楠. 人工智能时代成瘾性算法的危害及其规制问题研究[J]. 辽宁经济, 2024(8): 80-87.
[7] 张陆园, 王佳坤. 失序与归正: 算法推荐技术的应用风险、规制困境与优化路径[J]. 视听理论与实践, 2024(6): 64-71.
[8] 江必新, 王鑫. 数字行政行为算法歧视的法律规制[J]. 学术论坛, 2024, 47(6): 49-63.
[9] 蒋慧, 徐浩宇. 电商平台个性化推荐算法规制的困境与出路[J]. 价格理论与实践, 2022(12): 39-43.
[10] 李亦飞, 梁巧稚, 薛可. 智能算法推荐的治理困境及提升路径研究[J]. 新闻爱好者, 2021(11): 41-44.