School of Information, University of California, Berkeley, USA.
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA.
Sci Rep. 2023 Mar 23;13(1):4784. doi: 10.1038/s41598-023-31821-3.
Human errors in criminal investigations have previously led to devastating miscarriages of justice. For example, flaws in forensic identification based on physical or photographic evidence are notoriously unreliable. The criminal justice system has, therefore, started to turn to artificial intelligence (AI) to improve the reliability and fairness of forensic identification. So as not to repeat history, it is critical to evaluate the appropriateness of deploying these new AI forensic tools. We assess the feasibility of measuring basic physical attributes in a photo using a state-of-the-art AI system, and compare performance with human experts and non-experts. Our results raise concerns as to the use of current AI-based forensic identification.
在刑事调查中，人为错误曾导致严重的司法误判。例如，基于物理或照片证据的法医鉴定存在缺陷，这是众所周知的不可靠。因此，刑事司法系统已开始转向人工智能（AI）以提高法医鉴定的可靠性和公正性。为了避免重蹈覆辙，评估部署这些新的 AI 法医工具的适当性至关重要。我们评估了使用最先进的 AI 系统在照片中测量基本身体属性的可行性，并将性能与人专家和非专家进行了比较。我们的结果对当前基于 AI 的法医鉴定的使用提出了质疑。
