In recent years, artificial intelligence (AI) has been increasingly applied in anti-corruption efforts, demonstrating a new trend of leveraging technology to promote integrity and clean governance. By utilizing big data analytics, natural language processing, and machine learning, AI can efficiently detect anomalous financial transactions, behavioral deviations among public officials, and potential illicit benefit transfers. For instance, some local governments have deployed AI systems to monitor fiscal expenditures, public tenders, and government procurement in real time, automatically flagging high-risk activities and significantly enhancing the precision and efficiency of oversight. Moreover, AI can integrate data from multiple sources to build integrity risk profiles, enabling disciplinary inspection agencies to intervene proactively and prevent minor issues from escalating. This ‘intelligent supervision’ model not only reduces human resource costs but also boosts transparency and public trust in anti-corruption initiatives. As the technology matures, AI is evolving from a supportive tool into a core pillar of integrity-building efforts, helping establish long-term mechanisms that deter, prevent, and discourage corruption—offering a Chinese-inspired, tech-driven solution to global anti-corruption governance.
近年来，人工智能（AI）技术在反腐败领域的应用日益广泛，展现出科技助力廉洁治理的新趋势。AI通过大数据分析、自然语言处理和机器学习等手段，能够高效识别异常交易、公职人员行为偏差以及潜在的利益输送链条。例如，一些地方政府已部署AI系统对财政支出、招投标项目和政府采购进行实时监控，自动预警高风险行为，显著提升了监督的精准性与效率。此外，AI还能整合多源数据，构建廉政风险画像，辅助纪检监察机关提前干预、防微杜渐。这种“智能监督”模式不仅降低了人力成本，也增强了反腐工作的透明度与公信力。随着技术不断成熟，AI正从辅助工具逐步转变为廉政建设的重要支撑力量，推动形成不敢腐、不能腐、不想腐的长效机制，为全球反腐败治理贡献中国智慧与科技方案。
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