Corpses identification in mass disasters and other violence: the ethical challenges of a humanitarian approach

IF 1.4 4区 医学 Q3 MEDICINE, LEGAL Forensic Sciences Research Pub Date : 2023-12-20 DOI:10.1093/fsr/owad048
Vina Vaswani, Luciana Caenazzo, Derek R. Congram
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Abstract

In October 2022, the Centre for Ethics of Yenepoya University hosted a national workshop entitled: ‘Respect for human dignity of the unidentified dead from mass disasters and other violence: strategies for the ethical management of biological samples and personal data’. The aim was to explore and share experience and ethical considerations regarding the management and identification of human remains in the event of disasters, with the purpose to arrive at a general consensus about what constitutes the ethical foundation of the management of unidentified human remains in forensic practice and, in particular, contextualizing this in India. The main ethical consideration that emerged was racing the missing and identifying the dead are crucial to maintaining or restoring basic human rights and responsible relief activities. Identification is not only an organizational and scientific achievement but, regardless of circumstances, it is also necessarily and always an activity with significant political, epistemic and philosophical relevance and consequence. In India, it could be important to consider new legal provisions for the management of human samples so that this would provide a starting point for the treatment of human remains managed for forensic purposes with uniformity in the Country. Another important step in which governments should take part regards the involvement and education of the general public to develop their interest in this important goal. In the field of forensic anthropology, artificial intelligence can support, through the use of algorithms, the decision-making process that leads to the identification of the victim or its remains. Furthermore, they can be used to extract new knowledge from huge databases and shorten identification through computer automation of data binding activities. Applying AI tools in forensic sciences to collect new information from massive datasets to enhance knowledge, and reduce human subjectivity and errors, provides a greater scientific basis that could improve the strength of the evidence and support the admissibility of expert evidence. In light of the general lack of national/international guidance about ethical oversight for identification and care of human remains, the fact that regulations are frequently not adequate to govern ethical aspects, we hope that an internationally recognized body should develop such guidance in collaboration with relevant organizations.
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大规模灾难和其他暴力事件中的尸体鉴定:人道主义方法的伦理挑战
2022 年 10 月,耶内波亚大学伦理学中心主办了一次题为 "尊重大灾难和其他暴力事件中身份不明死者的人格尊严:生物样本和个人数据的伦理管理战略 "的全国研讨会。研讨会的目的是探讨和交流在发生灾害时管理和鉴定遗骸方面的经验和伦理考虑,以便就什么是法医实践中管理身份不明遗骸的伦理基础达成普遍共识,特别是要结合印度的具体情况。出现的主要伦理考虑因素是与失踪者赛跑和确认死者身份对于维护或恢复基本人权和负责任的救援活动至关重要。身份鉴定不仅是一项组织和科学成就,而且无论在何种情况下,都必然是一项具有重大政治、认识论和哲学意义和后果的活动。在印度,重要的是考虑制定新的人体样本管理法律规定,以便为在全国统一处理为法医目的管理的遗骸提供一个起点。政府应参与的另一个重要步骤是让公众参与和教育,以培养他们对这一重要目标的兴趣。在法医人类学领域,人工智能可以通过使用算法支持决策过程,从而识别受害者或其遗骸。此外,它们还可用于从庞大的数据库中提取新知识,并通过数据绑定活动的计算机自动化缩短鉴定时间。在法医学中应用人工智能工具,从海量数据集中收集新信息,以增强知识,减少人为主观性和错误,从而提供更多科学依据,提高证据的强度,支持专家证据的可采性。鉴于目前普遍缺乏对遗骸鉴定和护理进行伦理监督的国家/国际指导,而且法规往往不足以规范伦理方面的问题,我们希望国际公认的机构应与相关组织合作制定此类指导。
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来源期刊
Forensic Sciences Research
Forensic Sciences Research MEDICINE, LEGAL-
CiteScore
3.60
自引率
7.70%
发文量
158
审稿时长
26 weeks
期刊最新文献
Correction to: Forensic efficiency and population genetic construction of Guizhou Gelao minority from Southwest China revealed by a panel of 23 autosomal STR loci. Correction to: Metric analysis of the patella for sex estimation in a Portuguese sample. Correction to: Forensic features and phylogenetic structure survey of four populations from southwest China via the autosomal insertion/deletion markers. Correction to: Potential role of the sella turcica X-ray imaging aspects for sex estimation in the field of forensic anthropology: a systematic review and meta-analysis. Forensic identification in a multidisciplinary perspective focusing on big challenges.
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