首页|人工智能风险治理中知识产权限制的应用

人工智能风险治理中知识产权限制的应用

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当前人工智能风险治理研究多集中于决策式人工智能,立于"权力限制"视角,提出以公法监管为主的多元治理模式.不过,面对生成式人工智能的技术风险,商业秘密、著作权等知识产权往往成为监管的"法律黑箱".由此,可基于"权利限制"的立场,通过知识产权限制实现技术风险治理.从知识产权限制"公共产品""有益产品"理论逻辑与司法的变迁可知,限制制度设立应当考虑技术利用所涉及的基本权利与成本收益,在此基础上设立合理使用、非自愿许可等制度,填补"三步检验法"中第一步的价值空缺.具体到人工智能风险治理,则可考虑设立"人工智能合理使用条款",更新"反向工程"条款等核心限制制度,创设"技术缺陷披露""大数据信息申报""语料训练知识产权注意义务"等辅助限制制度,并随之完善相应的司法裁判规则.
On Application of Intellectual Property Restriction to Artificial Intelligence Risk Governance
Current research on artificial intelligence(AI)risk governance mainly focuses on decision-making AI.From the perspective of"restriction of powers",a diversified governance model,with public law regulation as the primary method,has been proposed.However,in the face of risks of generative AI,intellectual property(IP)rights such as trade secrets and copyrights often become"legal black boxes"for regulation.Therefore,we can turn to"restriction of rights"and realize technology risk governance through restriction of IP rights.Given the theoretical logic of the restraint imposed by IP rights on public goods and merit goods,and the change in related judicial decisions,the basic rights,costs and returns in using technologies should be taken into consideration in the process of introducing the right restriction system.And based on that,institutions such as fair use and compulsory licensing should be established so that the value gap can be bridged in the first step of the"three step test".Specifically speaking,regarding AI risk governance,we can introduce"the AI fair use clause",update key institutions such as"the reverse engineering clause",and build auxiliary institutions such as"technical defect disclosure","big data information report",and"a duty of care for IP rights in training corpus".Along with that,legal bases for relevant judicial decisions should be improved.

artificial intelligence risk governancegenerative artificial intelligenceintellectual property right restrictionmerit goods

瞿昊晖

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中南财经政法大学法学院

中南财经政法大学知识产权研究中心(武汉 430073)

人工智能风险治理 生成式人工智能 知识产权限制 有益产品

2024

新文科教育研究

新文科教育研究

ISSN:
年,卷(期):2024.(4)