机器人反对腐败:探索基于人工智能的反腐败技术的好处和局限性
1Università Di Bologna, Bologna, Italy.
概括
全球正在开发人工智能 (AI) 反腐败工具. 这项研究分析了巴西31项倡议,发现它们主要有助于数据分析,用于检测公共支出中的腐败.
科学领域:
- 计算机科学 计算机科学
- 公共管理 公共管理
- 犯罪学 犯罪学
背景情况:
- 国家越来越多地采用人工智能 (AI) 工具来打击腐败.
- 对这些自动化反腐败系统的实证分析仍然有限.
- 这项研究检查了巴西31个基于人工智能的反腐败倡议.
研究的目的:
- 实证地分析基于人工智能的反腐败工具的功能,使用和限制.
- 评估这些技术在巴西的有效性和透明度.
- 探索人工智能工具操作,创建和影响的概念框架.
主要方法:
- 对二次数据和采访进行定性分析.
- 审查了31个自下而上和自上而下的人工智能反腐败倡议.
- 应用一个新的概念框架来仔细检查工具的操作,目的,用户,目标和结果.
主要成果:
- 巴西的人工智能工具是由公务员和公民开发的,用于数据挖掘和交叉检查.
- 这些工具主要针对公共支出和政府职能中的腐败.
- 政府工具往往缺乏透明度,而公民主导的倡议则面临数据访问限制.
结论:
- 巴西的人工智能反腐败技术支持人类在识别明显的腐败案件方面的努力.
- 透明度和数据可访问性分别是政府和自下而上的倡议的关键挑战.
- 由于人工智能被认为具有支持作用,对偏见算法的担忧是最小的.
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