近年来，浙江省在反腐败工作中积极引入人工智能（AI）技术，通过大数据分析和智能算法提升监督效能。该省纪委监委联合科技企业，构建了‘智慧监督’平台，整合财政、税务、房产、交通、社保等多部门数据，对公职人员的异常行为进行实时监测。例如，系统可自动识别某官员名下房产数量异常、频繁出入高档场所、亲属无合理收入却拥有大额资产等可疑线索，并生成预警报告供纪检监察机关核查。2023年，浙江通过此类AI系统发现并查处多起隐蔽性较强的违纪违法案件，显著提高了反腐精准度与效率。这种‘科技+制度’的治理模式，不仅压缩了权力寻租空间，也推动了廉政建设向智能化、精细化转型。专家指出，AI并非取代人工调查，而是作为辅助工具，帮助纪检人员从海量信息中快速锁定高风险目标，实现由‘人防’向‘技防’的升级。未来，随着算法优化和数据融合深化，AI在反腐倡廉中的作用将更加突出。
In recent years, Zhejiang Province has actively integrated artificial intelligence (AI) into its anti-corruption efforts, leveraging big data analytics and intelligent algorithms to enhance oversight effectiveness. The provincial Commission for Discipline Inspection and Supervision has partnered with tech companies to develop a ‘Smart Supervision’ platform that aggregates data from multiple government departments—including finance, taxation, real estate, transportation, and social security—to monitor unusual behaviors among public officials in real time. For instance, the system can automatically flag suspicious patterns such as an official owning an unusually high number of properties, frequenting luxury venues, or having relatives with substantial assets despite no legitimate income, generating alerts for further investigation. In 2023 alone, this AI-driven approach helped uncover and address several highly concealed cases of misconduct and corruption, significantly improving the precision and efficiency of anti-graft operations. This ‘technology + institutional governance’ model not only narrows opportunities for abuse of power but also advances integrity-building toward greater intelligence and granularity. Experts emphasize that AI serves as a supportive tool—not a replacement—for human investigators, enabling them to quickly identify high-risk targets from vast datasets and shift from traditional manual oversight to tech-enabled prevention. As algorithms improve and data integration deepens, AI’s role in combating corruption is expected to grow even more pivotal.
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