人工智能生成的面孔可以作为目击者阵容中的填充物吗?
Rachel Leigh Greenspan1, Amanda N Bergold2
1Department of Criminal Justice and Legal Studies, University of Mississippi, University, USA.
Memory (Hove, England)
|February 20, 2025
概括
人工智能 (AI) 可以为目击者照片排队生成现实的假人. 参与者无法将人工智能生成的填充物与真实嫌疑人区分开来,这表明人工智能是构建阵容的可行工具.
科学领域:
- 法医心理学 法医心理学
- 人工智能在执法部门中的应用
背景情况:
- 目击者鉴定在刑事调查中至关重要.
- 拍照阵容的构建,特别是选择填充剂,对于执法部门来说是一个挑战.
- 填充剂应该与嫌疑人相似,以避免对鉴定产生偏见.
研究的目的:
- 调查使用人工智能 (AI) 来生成目击者照片排队的填充图像的可行性.
- 评估参与者是否能区分真实的嫌疑人照片和人工智能生成的填充图像.
- 评估人工智能生成的填充剂对目击者识别准确性的影响.
主要方法:
- 人工智能算法被用来生成个人的图像,作为填充剂.
- 参与者被展示了包含真实嫌疑人和人工智能生成的填充物的照片阵列.
- 分析了识别准确度和检测人工智能生成图像的能力.
主要成果:
- 参与者在很大程度上无法检测真实嫌疑人的照片和人工智能生成的填充物之间的差异.
- 在使用真实填充剂和人工智能生成填充剂的阵容之间,在识别结果中没有观察到显著的差异.
- 该研究的重点是白人男性目标,这表明需要进一步研究概括性.
结论:
- 人工智能生成的图像显示承诺作为一个可行的工具,用于在照片阵容中创建有效的填充图像.
- 在阵容构造中使用人工智能可能会提高效率并减少偏见.
- 建议进行进一步的研究,以验证这些研究结果在不同的人口统计和背景.
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