基于ChatGPT的生成式人工智能犯罪风险分析及治理机制研究

Yifeng Tong
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摘要

ChatGPT的推出标志着以大数据的收集和学习为核心运行机制的生成式人工智能(generative artificial intelligence,简称generative AI)技术的发展取得突破。现在的生成式人工智能具有高智能和高泛化的特点,从而导致了各种犯罪风险。现行刑法规范对于生成式人工智能技术所带来的犯罪风险,在归因体系和犯罪规范方面都存在不足。因此,我们应该明确生成式人工智能的风险类型和治理挑战,明确数据是风险治理的对象,并在此基础上建立多元的责任分配机制和刑事、民事、行政法混合的法律治理框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Criminal Risk Analysis and Governance Mechanism of Generative Artificial Intelligence such as ChatGPT
The launch of ChatGPT marks a breakthrough in the development of generative artificial intelligence (generative AI) technology, which is based on the collection and learning of big data as its core operating mechanism. Now the generative AI has the characteristics of high intelligence and high generalization and thus has led to various criminal risks. The current criminal law norms are inadequate in terms of the attribution system and crime norms for the criminal risks caused by the generative AI technologies. Thus, we should clarify the types of risks and governance challenges of generative AI, clarify that data is the object of risk governance, and establish a pluralistic liability allocation mechanism and a mixed legal governance framework of criminal, civil, and administrative law on this basis.
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