统计指纹模型方面的工作如何为影响刑事司法系统内许多领域的更广泛和更大的影响奠定基础

David Stoney, Paul Stoney
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摘要

在开发和改进统计模型以解决高选择性指痕检查和解释中的缺陷的过程中,正在为产生更广泛和更大的影响奠定基础。这种影响将来自于使用这些经过改进的统计方法来利用从选择性较低的指痕检查中获得的信息--这些指痕传统上被认为没有证据价值。恰恰相反,研究表明,选择性较低的指痕有很多价值。它们出现的频率非常高:比那些被评估为足以纳入现有指纹检验程序的指印出现的频率要高得多。在个别案件中,它们出现的位置和数量可以为调查人员提供重要的新信息,并为进一步调查提供更多途径。作为有助于证明案件的证据,它们可以提供详细的活动信息和新的途径,以解决其他直接证据和间接证据的相关性和证明价值问题。要将指纹模型更广泛地应用于这些传统上未使用过的选择性较低的指痕,需要专门开发和实施指纹模型,以实现其贡献并负责任地管理风险和收益。
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How the work being done on statistical fingerprint models provides the basis for a much broader and greater impact affecting many areas within the criminal justice system
In the process of developing and improving statistical models to address flaws in the examination and interpretation of highly selective fingermarks, the groundwork is being laid for a much broader and greater impact. This impact will arise from the use of these same improved statistical methods to exploit information from the examination of fingermarks with lower degrees of selectivity—those fingermarks traditionally considered to be devoid of evidentiary value. To the contrary, research has shown that fingermarks of lower selectivity have much to offer. They occur very frequently: much more often than those assessed to be sufficient for inclusion in existing fingerprint examination processes. In individual cases, they occur in locations and numbers that can provide important new information for investigators and additional routes to further investigation. As evidence contributing to proving a case, they can provide detailed activity-level information and new avenues to address the relevance and probative value of other direct and circumstantial evidence. The broader application of fingerprint models to these traditionally unused fingermarks of lower selectivity needs to be specifically developed and implemented to realize the contributions and to responsibly manage the risks and benefits.
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