模式与痕迹证据中算法的应用：一份负责任且实用的路线图。
Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap.
作者信息
Swofford H, Champod C
机构信息
School of Criminal Justice, Forensic Science Institute, University of Lausanne, Switzerland.
出版信息
Forensic Sci Int Synerg. 2021 Feb 18;3:100142. doi: 10.1016/j.fsisyn.2021.100142. eCollection 2021.
Over the years, scientific and legal scholars have called for the implementation of algorithms (e.g., statistical methods) in forensic science to provide an empirical foundation to experts' subjective conclusions. Despite the proliferation of numerous approaches, the practitioner community has been reluctant to apply them operationally. Reactions have ranged from passive skepticism to outright opposition, often in favor of traditional experience and expertise as a sufficient basis for conclusions. In this paper, we explore practitioners are generally in opposition to algorithmic interventions and their concerns might be overcome. We accomplish this by considering issues concerning human-algorithm interactions in both real world domains and laboratory studies as well as issues concerning the litigation of algorithms in the American legal system. Taking into account those issues, we propose a strategy for approaching the implementation of algorithms, and the different ways algorithms can be implemented, in a and manner.
多年来，科学和法律学者一直呼吁在法医学中应用算法（如统计方法），以便为专家的主观结论提供实证基础。尽管有众多方法不断涌现，但从业者群体一直不愿在实际操作中应用这些方法。反应从消极怀疑到直接反对不等，他们往往支持将传统经验和专业知识作为得出结论的充分依据。在本文中，我们探讨了从业者普遍反对算法干预的原因以及如何克服他们的担忧。我们通过考虑现实世界领域和实验室研究中与人类 - 算法交互相关的问题以及美国法律体系中算法诉讼相关的问题来实现这一点。考虑到这些问题，我们提出了一种以可靠且合法的方式实施算法的策略，以及算法可以被实施的不同方式。
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