The Right To Confront Your Accusers: Opening the Black Box of Forensic DNA Software

Jeanna Neefe Matthews, M. Babaeianjelodar, Stephen Lorenz, Abigail V. Matthews, Mariama Njie, Nathaniel Adams, D. Krane, Jessica Goldthwaite, Clinton Hughes
{"title":"The Right To Confront Your Accusers: Opening the Black Box of Forensic DNA Software","authors":"Jeanna Neefe Matthews, M. Babaeianjelodar, Stephen Lorenz, Abigail V. Matthews, Mariama Njie, Nathaniel Adams, D. Krane, Jessica Goldthwaite, Clinton Hughes","doi":"10.1145/3306618.3314279","DOIUrl":null,"url":null,"abstract":"The results of forensic DNA software systems are regularly introduced as compelling evidence in criminal trials, but requests by defendants to evaluate how these results are generated are often denied. Furthermore, there is mounting evidence of problems such as failures to disclose substantial changes in methodology to oversight bodies and substantial differences in the results generated by different software systems. In a society that purports to guarantee defendants the right to face their accusers and confront the evidence against them, what then is the role of black-box forensic software systems in moral decision making in criminal justice? In this paper, we examine the case of the Forensic Statistical Tool (FST), a forensic DNA system developed in 2010 by New York City's Office of Chief Medical Examiner (OCME). For over 5 years, expert witness review requested by defense teams was denied, even under protective order, while the system was used in over 1300 criminal cases. When the first expert review was finally permitted in 2016, many problems were identified including an undisclosed function capable of dropping evidence that could be beneficial to the defense. Overall, the findings were so substantial that a motion to release the full source code of FST publicly was granted. In this paper, we quantify the impact of this undisclosed function on samples from OCME's own validation study and discuss the potential impact on individual defendants. Specifically, we find that 104 of the 439 samples (23.7%) triggered the undisclosed data-dropping behavior and that the change skewed results toward false inclusion for individuals whose DNA was not present in an evidence sample. Beyond this, we consider what changes in the criminal justice system could prevent problems like this from going unresolved in the future.","PeriodicalId":418125,"journal":{"name":"Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3306618.3314279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

The results of forensic DNA software systems are regularly introduced as compelling evidence in criminal trials, but requests by defendants to evaluate how these results are generated are often denied. Furthermore, there is mounting evidence of problems such as failures to disclose substantial changes in methodology to oversight bodies and substantial differences in the results generated by different software systems. In a society that purports to guarantee defendants the right to face their accusers and confront the evidence against them, what then is the role of black-box forensic software systems in moral decision making in criminal justice? In this paper, we examine the case of the Forensic Statistical Tool (FST), a forensic DNA system developed in 2010 by New York City's Office of Chief Medical Examiner (OCME). For over 5 years, expert witness review requested by defense teams was denied, even under protective order, while the system was used in over 1300 criminal cases. When the first expert review was finally permitted in 2016, many problems were identified including an undisclosed function capable of dropping evidence that could be beneficial to the defense. Overall, the findings were so substantial that a motion to release the full source code of FST publicly was granted. In this paper, we quantify the impact of this undisclosed function on samples from OCME's own validation study and discuss the potential impact on individual defendants. Specifically, we find that 104 of the 439 samples (23.7%) triggered the undisclosed data-dropping behavior and that the change skewed results toward false inclusion for individuals whose DNA was not present in an evidence sample. Beyond this, we consider what changes in the criminal justice system could prevent problems like this from going unresolved in the future.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
与原告对质的权利:打开法医DNA软件的黑匣子
法医DNA软件系统的结果通常作为刑事审判中令人信服的证据被引入,但被告要求评估这些结果是如何产生的往往被拒绝。此外,有越来越多的证据表明存在问题,例如未能向监督机构披露方法上的实质性变化,以及不同软件系统产生的结果存在实质性差异。在一个声称保证被告有权面对指控者并面对不利于他们的证据的社会中,那么黑箱法医软件系统在刑事司法的道德决策中扮演什么角色呢?在本文中,我们研究了法医统计工具(FST)的案例,这是纽约市首席法医办公室(OCME)于2010年开发的法医DNA系统。5年多来,即使在保护令下,辩护小组提出的专家证人审查要求也被拒绝,而该制度在1300多起刑事案件中使用。当2016年第一次专家审查最终被允许时,发现了许多问题,包括一个未公开的功能,能够放弃可能有利于辩方的证据。总的来说,这些发现是如此重要,以至于批准了公开发布FST完整源代码的动议。在本文中,我们量化了这个未公开的功能对OCME自己的验证研究样本的影响,并讨论了对个别被告的潜在影响。具体来说,我们发现439个样本中有104个(23.7%)触发了未公开的数据丢失行为,并且这种变化使结果偏向于错误地包含那些DNA不存在于证据样本中的个体。除此之外,我们还考虑刑事司法系统的哪些变化可以防止此类问题在未来得不到解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices Requirements for an Artificial Agent with Norm Competence Enabling Effective Transparency: Towards User-Centric Intelligent Systems Killer Robots and Human Dignity The Value of Trustworthy AI
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1