通过人工智能检测欺骗:承诺和危险
Kristina Suchotzki1, Matthias Gamer2
1Department of Psychology, University of Marburg, Gutenbergstr. 18, 35037 Marburg, Germany.
Trends in cognitive sciences
|April 21, 2024
概括
人工智能 (AI) 显示出谎言检测的前景,但目前的方法忽视了基础理论和方法. 为负责任的AI欺骗检测开发和监管提供了建议.
科学领域:
- 计算机科学 计算机科学
- 心理学 心理学 心理学
- 法律 法律 法律 法律
背景情况:
- 人工智能 (AI) 正在迅速发展,促使人们对其用于欺骗检测的用途进行探索.
- 当前的人工智能谎言检测研究往往优先考虑技术实施,而不是理论和方法严谨.
研究的目的:
- 分析当前基于人工智能的欺骗检测方法的影响.
- 为人工智能用于谎言检测的伦理发展和监管提出建议.
主要方法:
- 文献审查和对现有的AI欺骗检测方法的批判性分析.
- 讨论理论基础和方法限制.
主要成果:
- 当前的人工智能谎言检测方法缺乏强大的理论和方法论基础.
- 技术重点掩盖了有效性和可靠性的关键方面.
结论:
- 进一步的研究必须整合强大的理论框架和AI欺骗检测的健全方法.
- 需要明确的指导方针和法规,以便在谎言检测中负责任地推进和部署AI.
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