DNA挖掘和家谱信息系统:不仅仅是为了寻找家族种族

Q1 Economics, Econometrics and Finance Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-12-16 DOI:10.1002/isaf.1439
Daniel E. O'Leary
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引用次数: 0

摘要

DNA和家谱网站的主要用途是帮助用户找到他们的家人,找到他们的种族,并帮助他们与远房亲戚联系。这样做,这些网站可以帮助用户“更多地了解自己”。这样的系统也被提出有更广泛的目标,帮助连接人类,并向人们展示他们的相似之处如何大于他们的差异。然而,最近DNA和家谱信息的使用不再仅仅是寻找家庭联系、种族和血统。最近有消息称,利用DNA和消费者家谱网站生成的信息,“金州杀手”已被抓获。本文调查了这些技术的替代使用所带来的一些问题和意想不到的后果,以及它们对个人、组织和社会的影响。作为分析的一部分,我们分析了收集DNA信息的公司的一些直接后果,执法部门使用的新方法,一些隐私问题,并提供了一个网络游戏公式作为模拟用户行为的手段。最后,我们探讨了一些潜在的新兴研究问题。
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DNA Mining and genealogical information systems: Not just for finding family ethnicity

The primary expected use of DNA and genealogy sites has been their ability to help users find their family, find their ethnicity and to help them connect with distant relatives. In so doing such sites help users to “learn more about themselves.” Such systems have also been proposed to have the broader goals of helping connect mankind and show people how their similarities are greater than their differences. However, the use of DNA and genealogy information recently turned away from just finding family connections, ethnicity and origins. Recently it was announced that the “Golden State Killer” had been caught using information generated from using DNA and consumer genealogical websites.

This paper investigates some of the questions and unanticipated consequences raised by this alternative use of these technologies and their impact on individuals, organizations and society. As part of that analysis we analyze some of the immediate consequences on the firm from which the DNA information was gathered, the new emerging approach used by law enforcement, some privacy concerns and provide a network game formulation as a means to model user behavior. Finally, we examine some potential emerging research issues.

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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
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0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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