我国网络金融数据犯罪行为的规制与监管

The Regulation and Supervision of Network Financial Data Crime Behaviour in China

数字经济时代迅猛发展的过程中,网络金融数据是其举足轻重的生产要素之一。网络金融数据本身并未有主观色彩,作为双刃剑的它对数字经济时代的发展机遇与挑战并存。对网络金融数据行为应当一分为二地加以辩证看待。在立足鼓励数据促进发展的政策背景下,以“预防性”刑法治理为指导理念,采取“二次违法性”原则对金融数据行为加以规制,调动前置法的作用的同时,还需充分借助以ChatGPT为代表的人工智能技术实施科技监管与科技评估,进一步探索构建共建共治共享的多元化“网络金融数据”犯罪行为的预防与治理。

In the process of the rapid development of the digital economy era, the network financial data is one of the most important factors of production. Network financial data itself does not have a subjective color. As a double-edged sword, it has both development opportunities and challenges in the digital economy era. The behavior of network financial data should be viewed dialectically in two ways. Under the background of encouraging data to promote the development of policy, to “preventive” criminal law governance as the guiding concept, adopt the principle of “secondary illegal” financial data behavior regulation, mobilize the front method at the same time, also need to fully represented by ChatGPT artificial intelligence technology regulation and technology evaluation, further explore the construction of work sharing of diversified “network financial data” crime prevention and governance.