基于测谎仪的欺骗检测和机器学习. 结合两个世界的最坏?
Kyriakos N Kotsoglou1, Alex Biedermann2
1University of Northumbria, School of Law, Newcastle Upon Tyne, NE1 8ST, UK.
Forensic science international. Synergy
|July 8, 2024
概括
将机器学习 (ML) 应用于测谎仪结果在科学上是有疑问的. 这种研究有可能使无效的欺诈检测方法合法化,特别是在高风险的法律和就业环境中.
科学领域:
- 计算科学 计算科学
- 法医科学 法医科学 法医科学
- 法律技术 法律技术
背景情况:
- 批判性地检查机器学习 (ML) 和人工智能 (AI) 对测谎仪查数据的应用.
- 强调了ML/AI在公平性,透明度和问责制方面的日益增加的挑战.
- 质疑基于测谎仪的欺骗检测方法的科学有效性.
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