Data Governance and the "Cage" for ChatGPT-like Generative Artificial Intelligence:Responsive Research Based on Self-Regulation by Industry Subjects
The generative artificial intelligence represented by ChatGPT has been eye-catching since its inception,and the importance of data,algorithms,computing power as a the"troika"to promote generative artificial intelligence is self-evident.However,the death of data triggered by generative AI,such as data leakage and data monopolization,has also challenged the traditional data governance framework.In the era of intelligence,decentralized governance based on application scenarios,ex ante governance based on risk prevention,and rigid governance based on public authority dominance can hardly meet the dual needs of governance and development.Industry subjects should play an active role in data governance in the smart era based on their flexible advantages of professionalism,timeliness,and synergy,but they have been criticized for self-monitoring and self-regulation and lack of motivation.At present,Singapore's collaborative governance model of accountability and the U.S.soft law governance model reflect the feasibility of self-regulation of industry subjects and confirm that self-regulation is not completely autonomous.Therefore,it is of practical significance to construct a new paradigm of data governance from micro,meso and macro perspectives with self-regulation as the focus point.
万方数据
