大数据+人工智能,大幅压缩腐败生存空间

Group 1 - The article discusses the increasing efforts of China's disciplinary inspection and supervision agencies in combating cross-border corruption, utilizing big data and technology to uncover and investigate numerous cases [2][3] - A notable case involves Li Yong, former Deputy Secretary and General Manager of China National Offshore Oil Corporation (CNOOC), who is under investigation for serious corruption, with over 83% of the illicit funds originating from abroad [2][3] - The investigation into Li Yong's activities revealed a complex web of offshore accounts and companies used to conceal bribes, demonstrating the effectiveness of data analysis in tracing illicit financial flows [5][4] Group 2 - The article highlights the case of Yao Qian, former Director of the Technology Supervision Department of the China Securities Regulatory Commission, who was investigated for corruption involving virtual currencies [6][7] - Yao Qian's case illustrates the use of new forms of corruption, including the acceptance of virtual currency as bribes, with significant amounts traced back to his control through "shell accounts" [8][9] - The investigation into Yao Qian's financial activities led to the discovery of substantial funds linked to a real estate purchase, further emphasizing the role of technology in uncovering hidden corruption [8][9] Group 3 - The article also covers the case of Feng Jiang, a former official in the asset management sector, who was implicated in corrupt practices revealed through a smart regulatory system that analyzed bidding data [10][11] - The smart regulatory system identified irregularities in project bids, leading to the discovery of collusion and bribery, showcasing the power of big data and AI in enhancing oversight [11][12] - Feng Jiang's case resulted in a conviction for bribery, demonstrating the effectiveness of technology in identifying and prosecuting corrupt activities within public projects [10][11]