A user-centered approach to developing an AI system analyzing U.S. federal court data
A user-centered approach to developing an AI system analyzing U.S. federal court data
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DOI：
10.1007/s10506-022-09320-z
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发表时间：
2022-08
影响因子：
4.1
通讯作者：
Rachel F. Adler;Andrew R. Paley;A. L. Li Zhao;Harper Pack;Sergio Servantez;Adam R. Pah;K. Hammond;S. O. Consortium
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文献类型：
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作者：
Rachel F. Adler;Andrew R. Paley;A. L. Li Zhao;Harper Pack;Sergio Servantez;Adam R. Pah;K. Hammond;S. O. Consortium
我们在人工智能(AI)系统的设计中实施了以用户为中心的方法，为用户提供访问有关美国联邦法院系统工作的信息，而无论他们的技术背景如何。目前，大多数与联邦司法机构有关的记录都是通过联邦系统提供的，该系统不支持旨在发现有关法院活动的系统模式的探索。此外，许多用户缺乏进行自己的分析并将数据转换为信息所需的数据分析技能。我们进行了采访、观察和调查，以发现我们用户的需求，并讨论根据这些需求开发一个直观的平台，使法律学者、律师和记者能够发现有关联邦法院系统的更高级问题的答案。我们报告可用性测试的结果，并讨论设计对人工智能和法律从业人员和研究人员的影响。
We implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regardless of their technical background. Presently, most of the records associated with the federal judiciary are provided through a federal system that does not support exploration aimed at discovering systematic patterns about court activities. In addition, many users lack the data analytical skills necessary to conduct their own analyses and convert data into information. We conducted interviews, observations, and surveys to uncover the needs of our users and discuss the development of an intuitive platform informed from these needs that makes it possible for legal scholars, lawyers, and journalists to discover answers to more advanced questions about the federal court system. We report on results from usability testing and discuss design implications for AI and law practitioners and researchers.