视频丨AI当“侦探”！守好惠民“钱袋子” 江苏这样做

Group 1 - The year marks the final year of the five-year transition period for consolidating and expanding poverty alleviation achievements and effectively connecting with rural revitalization, with a focus on strengthening supervision and discipline in the rural revitalization sector [1] - Jiangsu province is actively addressing prominent issues in the supervision of rural revitalization fund usage to ensure that decision-making and deployment are effectively implemented [3] - Liu Yang, a villager from Yonghua Village in Jiangsu's Liyang County, purchased a new agricultural harvester for 153,000 yuan, receiving a subsidy of 40,300 yuan, which was processed in less than three months this year, compared to a six-month wait for his previous purchase [4][6] Group 2 - Investigations revealed that delays in subsidy payments were due to slow review processes by local agricultural, rural, and financial departments, prompting the local disciplinary inspection and supervision agency to take corrective actions [6] - By May 22, 2025, all outstanding agricultural machinery purchase and application subsidy funds amounting to 20.508 million yuan were disbursed, benefiting 1,017 households and effectively safeguarding farmers' rights [8] - High-standard farmland construction is also a key focus, with local authorities conducting thorough reviews of completed projects to identify potential issues such as collusion and quality concerns [10][12] Group 3 - The local disciplinary inspection agency has urged relevant departments to rectify identified issues within a specified timeframe and to implement comprehensive monitoring throughout the entire process of high-standard farmland projects [12] - Since the initiation of the rectification efforts, Jiangsu province has identified and addressed issues related to high-standard farmland construction and agricultural machinery subsidies, ensuring timely disbursement of 544 million yuan in subsidy funds, benefiting over 11 million people [12] - The establishment of an AI-driven "Rural Revitalization Fund Intelligence System" aims to enhance the supervision of high-standard farmland projects and improve the identification of problem areas [14]