肖像可识别性法益区分标准下AI融脸侵权的类型化认定
Typological Determination of AI Face-Swapping Infringement Based on the Differentiated Identifiability Standards of Portrait Rights
摘要: AI融脸技术的快速迭代使肖像侵权形态日趋复杂,传统的综合判断法难以应对“去面部特征”场景下的可识别性认定难题。AI融脸侵权的认定不应采取“一刀切”的单一标准,而应区分肖像权所保护的不同法益,按照尊严利益、同一性利益与财产性利益分别适用差异化的可识别性判断标准。尊严利益保护应采用“本人识别”标准,同一性利益保护应采用“熟人确信”标准,财产性利益保护应采用“公众一眼识别”标准。通过对AI换脸模板案、AI恶搞丑化案、AI短剧“神似”明星案等典型案例的类型化分析,揭示了多元标准体系在司法实践中的适用逻辑,据此就AI融脸侵权的制度完善提出建议。
Abstract: The rapid iteration of AI face-swapping technology has rendered the forms of portrait infringement increasingly complex, and the conventional “holistic assessment” approach proves inadequate in addressing the challenge of determining identifiability in scenarios involving “removed facial features”. The determination of AI face-swapping infringement should not adopt a one-size-fits-all uniform standard; instead, it should distinguish among the different legal interests protected by the right of portrait—namely, dignity interests, identity interests, and commercial interests—and apply differentiated identifiability standards accordingly. For the protection of dignity interests, the “rights-holder self-recognition” standard should be applied; for identity interests, the “people familiar with the rights holder” standard should be applied; and for commercial interests, the “general public immediate recognition” standard should be applied. Through a typological analysis of typical cases—including AI face-swapping template cases, AI-based defamatory caricature cases, and AI short drama “striking resemblance” to celebrities cases—this study reveals the applicative logic of the multiple-standard framework in judicial practice, and accordingly puts forward recommendations for the institutional improvement of AI face-swapping infringement regulation.
参考文献
|
[1]
|
王叶刚. 论肖像的可识别性及其判断[J]. 四川大学学报(哲学社会科学版), 2018(3): 27-31.
|
|
[2]
|
阮神裕. 论人工智能时代肖像可识别性的判断标准[J]. 法学家, 2026(1): 15-29.
|
|
[3]
|
程啸. 生成式人工智能侵害肖像权的侵权责任[J]. 法学论坛, 2026(3): 5-16.
|
|
[4]
|
赵精武. AI换脸侵权之争: 肖像可识别标准的再解释[J]. 社会科学辑刊, 2025(5): 168-176.
|
|
[5]
|
苏艺. 声音商品化权可识别性认定的二阶构造——兼评“人工智能声音权第一案” [J]. 河北法学, 2025, 43(11): 102-121.
|
|
[6]
|
黄薇. 《中华人民共和国民法典·人格权编》释义[M]. 北京: 法律出版社, 2020.
|
|
[7]
|
来小鹏, 邹玥. 深度伪造行为的危害性及其法律规制研究[J]. 中国版权, 2025(6): 35-51.
|
|
[8]
|
何霁虹. 艺术风格迁移对知识产权法的挑战[N]. 安徽科技报, 2025-01-03(016).
|
|
[9]
|
董慧娟, 魏荣豪. 论人工智能风格迁移输出物的法律属性及其归属——以吉卜力风格迁移模型为例[J/OL]. 西南交通大学学报(社会科学版), 2026: 1-15. https://link.cnki.net/urlid/51.1586.C.20260109.1649.004, 2026-08-08.
|
|
[10]
|
姜战军. 民法典人格利益合理使用一般条款研究[J]. 中国法学, 2023(3): 82-102.
|
|
[11]
|
刘文涛. AI换脸技术的应用风险及法律规制[J]. 电子科技大学学报(社会科学版), 2024, 26(2): 60-69.
|
|
[12]
|
温云云, 高欣欣. 《民法典》开启舆论监督报道“合理使用”新空间[J]. 传媒, 2021(15): 91-93.
|
|
[13]
|
龙俊, 王天禹. 人工智能深度伪造技术的法律风险防控[J]. 行政管理改革, 2024(3): 60-79.
|
|
[14]
|
张惠彬, 侯仰瑶. 从技术到法律: AI换脸短视频的侵权风险与规范治理[J]. 北京科技大学学报(社会科学版), 2024, 40(1): 124-132.
|
|
[15]
|
彭桂兵, 张凤逸. “深度伪造”侵犯肖像权问题研究[J]. 湖南师范大学社会科学学报, 2023, 52(6): 118-126.
|
|
[16]
|
李宸宸. 《民法典》肖像合理使用的法律适用解释[D]: [硕士学位论文]. 武汉: 华中科技大学, 2022.
|