有效的AI驱动的指控选:泰国国家反腐败委员会的一个案例研究
Issara Sereewatthanawut1,2, Patipan Sriphon1, Pattrawut Khunwipusit1
1King Prajadhipok's Institute, Bangkok, Thailand.
PloS one
|January 20, 2026
概括
这项研究引入了一个人工智能驱动的系统来选腐败指控,大大减少了78.6%的处理时间. 人工智能 (AI) 工具提高了反腐败工作的效率和一致性.
科学领域:
- 公共管理 公共管理
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 手动选腐败指控是低效和不一致的.
- 需要技术解决方案来改善公共管理和问责制.
- 人工智能 (AI) 提供了自动化和增强政府流程的潜力.
研究的目的:
- 开发和评估一个人工智能驱动的原型,用于对腐败投诉进行初步选.
- 评估人工智能系统的技术性能和运营效率.
- 探索AI在泰国国家反腐败委员会 (NACC) 支持反腐败工作方面的潜力.
主要方法:
- 一种混合方法的方法,将机构流程分析和技术绩效评估结合起来.
- 整合光学字符识别 (OCR),自然语言处理 (NLP) 和机器学习.
- 评估OCR准确度 (F1分数,精度,回忆) 和文本识别水平.
- 评估综合框架的分类准确性和运营效率.
主要成果:
- 该OCR模块的F1得分为81.8%,精度为84.2%,回忆率为79.6%.
- 该系统在印刷文本中达到72%的文字级和78%的字符级准确性.
- 人工智能框架实现了57.5%的分类准确度,并将投诉处理时间减少了78.6%.
结论:
- 人工智能通过提高速度,准确性和一致性来提高反腐败工作的变革潜力.
- 对公共部门治理而言,负责任和情境敏感的人工智能采用至关重要.
- 该研究提供了实证证据,用于在机构问责制框架中实施可扩展,透明和道德的人工智能解决方案.
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