摘要
人工智能生成内容(AIGC)在极大程度提高内容生产与学术研究效率的同时,也催生了学术期刊出版的各种新兴风险.我国当前数据与知识产权领域的立法以及AI领域的新法律文件在应对学术造假、版权争议、隐私泄漏等AIGC升级风险时还存在着一定的滞后性,针对AI的专门立法体系亟待完善.在缺乏合理有效法律规制的情况下,AI企业的技术自治与学术期刊出版的行业监管成为防范风险的有效武器.在大数据与AI技术高速发展的未来,只有充分利用好法律规制、技术自治、行业监管的协同治理模式,才能保证AI负责任的创新,推动学术期刊出版行业的健康有序发展.
While artificial intelligence-generated content(AIGC)has greatly improved the efficiency of con-tent production and academic research,it has also given rise to various emerging risks in academic journal pub-lishing.China's current legislation in the field of data and intellectual property and new legal documents in the field of AI still have a certain lag in dealing with AIGC upgrade risks such as academic fraud,copyright disputes,and privacy leaks.The specialized legislative system for AI needs to be improved urgently.In the absence of rea-sonable and effective legal regulations,the technological autonomy of AI companies and the industry supervision of academic journal publishing have become effective weapons to prevent risks.In the future where big data and AI technology develop rapidly,only by making full use of the collaborative governance model of legal regulation,technical autonomy,and industry supervision can we ensure responsible innovation of AI and promote the healthy and orderly development of the academic journal publishing industry.
作者
周濛
ZHOU Meng(Editorial Office of Journal of Shenzhen University,Shenzhen,Guangdong 518060,China)
出处
《肇庆学院学报》
2024年第5期58-65,共8页
Journal of Zhaoqing University
基金
教育部人文社会科学研究青年基金项目(23YJC820058)
全国高等学校文科学报研究会2023年度编辑学研究一般项目(YB2023016)。
关键词
人工智能生成内容
学术出版
期刊风险
法律规制
协同治理
artificial intelligence-generated content
academic publishing
journal risk
legal regulation
col-laborative governance