ISSN 1008-2204
CN 11-3979/C

生成式AI大模型的风险问题与规制进路:以GPT-4为例

Risk Problem and Regulation Approach of Generative AI Foundation Models: A Case Study of GPT-4

  • 摘要: 生成式人工智能(AI)的发展为人类社会带来了深层次和颠覆性的挑战。GPT-4在技术更新的同时也引发了底层算法、训练数据、知识产权方面的风险。在底层算法上,尽管GPT-4中潜藏着算法歧视的风险,但算法公开殊无必要,应借鉴类脑研究思路,推动GPT-4走向通用人工智能;在训练数据上,GPT-4背后的海量数据存在较大的合规风险,应设立数据销毁制度,维护意识形态安全,探索中国特色发展方案;在知识产权上,GPT-4带来了一系列侵权风险,引发了生成物的作品属性认定争议,但尚无法构成对人类作者主体资格的挑战。为更好地应对生成式AI大模型技术发展风险,应及时制定合适的规制方案,在元规制理论下,借鉴欧盟《数字服务法》中的制度设计,结合已有算法治理实践,寻求数字时代的自主创新,助力人工智能产业安全发展。

     

    Abstract: The development of generative artificial intelligence (AI) is posing profound and subversive challenges to human society. The technological update of GPT-4 also causes risks in underlying algorithm, training data, and intellectual property at the same time. In terms of the underlying algorithm, although there is a risk of algorithm discrimination in GPT-4, it is not necessary to open the algorithm, we should learn from brain-inspired research to promote GPT-4 to AGI; In terms of training data, the massive data behind GPT-4 has a large compliance risk, we should set up a data destruction system, maintain ideological security and explore development options with Chinese characteristics; In terms of intellectual property, GPT-4 brings a series of infringement risks, which has triggered disputes over the attribution of the product, but it cannot constitute a challenge to the qualification of human authors. In order to better deal with the risks in the process of technological development, we should formulate an appropriate regulatory schemes in time, under the theory of meta-regulation, learn from the institutional design in the Digital Services Act of the European Union, combine with existing algorithm governance practice, seek independent innovation in the digital age, help the safe development of the artificial intelligence industry.

     

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