人工智能算法侵害的立法规制机制研究
Research on the Legislative Mechanism of Artificial Intelligence Algorithm Infringement
摘要: 人工智能算法是社会生产力发展和科技进步的产物,其广泛应用极大地促进了社会生产力水平的跃升与生产关系的变革,但也催生了一系列新型风险,包括个体层面的算法歧视和算法偏见,市场层面的算法共谋与算法垄断,国家层面的算法黑箱、算法霸权等,亟待采取立法规制。为破解当前监管机制不完善,算法责任界定不明等诸多局限,需要实现人工智能算法可解释、可评估、可监管等可信特征,有效防范人工智能算法风险。从人工智能算法侵害风险类型化的角度出发,提出对与人工智能算法发展有关的传统的法律制度进行适用性改进,并从立法方法、立法模式、立法路线三个方面提出规制人工智能算法的法律路径。
Abstract: Artificial intelligence algorithm is the product of the development of social productivity and scientific and technological progress. Its wide application has greatly promoted the improvement of social productivity and the transformation of production relations, but it has also spawned a series of new risks, including algorithm discrimination and algorithm bias at the individual level, algorithm collusion and algorithm monopoly at the market level, algorithm black box and algorithm hegemony at the national level, etc. Legislative regulation is urgently needed. In order to solve the current many other limitations such as the imperfect regulatory mechanism and the unclear definition of the algorithm responsibility, it is necessary to realize credible characteristics of artificial intelligence algorithm that can be explained, evaluated and regulated, effectively prevent the risks of artificial intelligence algorithm. From the perspective of AI algorithm’s infringement risk type, this paper proposes to improve the applicability of the traditional legal system related to the development of AI algorithm, and proposes the legal path to regulate AI algorithm from three aspects: legislative method, legislative model and legislative route.
文章引用:陈思羽. 人工智能算法侵害的立法规制机制研究[J]. 法学, 2023, 11(6): 5185-5191. https://doi.org/10.12677/OJLS.2023.116741

参考文献

[1] Diakopoulos, N. (2015) Algorithmic Accountability: Journalistic Investigation of Computational Power Structures. Digi-tal Journalism, 3, 398-415. [Google Scholar] [CrossRef
[2] 王攀. “人工智能之父” 66年前的预言[J]. 经营管理者, 2016(11): 110-111.
[3] 许可. 驯服算法: 算法治理的历史展开与当代体系[J]. 华东政法大学学报, 2022, 25(1): 99-113.
[4] 王莹. 算法侵害类型化研究与法律应对——以《个人信息保护法》为基点的算法规制扩展构想[J]. 法制与社会发展, 2021, 27(6): 133-153.
[5] 孟天广, 李珍珍. 治理算法: 算法风险的伦理原则及其治理逻辑[J]. 学术论坛, 2022, 45(1): 9-20.
[6] 贾珍珍, 刘杨钺. 总体国家安全观视域下的算法安全与治理[J]. 理论与改革, 2021(2): 135-148.
[7] 李丹. 算法共谋: 边界的确定及其反垄断法规制[J]. 广东财经大学学报, 2020, 35(2): 103-112.
[8] 王正鑫. 机器何以裁量: 行政处罚裁量自动化及其风险控制[J]. 行政法学研究, 2022(2): 166-176.
[9] 袁康. 可信算法的法律规制[J]. 东方法学, 2021(3): 5-20. [Google Scholar] [CrossRef