Exploring gaps in California Proposition 54 (2016)

S. Nathani, Ryan Jenkins, Foaad Khosmood, Christine Robertson
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Abstract

California Proposition 54, 2016 (Prop 54) attempted to address gaps in government transparency at the state level by requiring legislative proceedings to be published on the internet, but failed to consider the traditional barriers that limit citizen participation in policy. This study aims to understand where Prop 54 falls short in regards to improving government transparency, evaluating the traditional barriers that prevent citizens from participating in government, identifying the improvements that should be made to increase the impact of Prop 54, and proposing ways artificial intelligence can help with these improvements. Prop 54 makes an overwhelming amount of information to be made available online, an amount that is not searchable by people. The data includes thousands of recordings of legislative sessions which are over an hour on average, but lack transcripts, summaries, or even a descriptive title. In addition, a barrier which prevents everyday people from participating in policy that remains is that most citizens lack the ability to comprehend sophisticated legal terminology presented in the released data. The research method used in this paper is a literature review, and this paper proposes addressing these challenges by implementing artificial intelligence-based solutions with natural language processing and computer vision. These tools can be used to create high-quality, searchable transcripts and generate simplified summaries of legislative proceedings, addressing both of the previously mentioned problems.
探索加州第54号提案(2016)中的漏洞
2016年加州第54号提案(Prop 54)试图通过要求在互联网上公布立法程序来解决州一级政府透明度的差距,但未能考虑到限制公民参与政策的传统障碍。本研究旨在了解第54号提案在提高政府透明度方面的不足之处,评估阻碍公民参与政府的传统障碍,确定应该做出的改进以增加第54号提案的影响,并提出人工智能可以帮助这些改进的方法。第54号提案将大量信息放到网上,而这些信息是人们无法搜索到的。这些数据包括数千份立法会议的录音,平均时长超过一个小时,但没有文字记录、摘要,甚至没有描述性的标题。此外,阻碍普通民众参与政策制定的一个障碍仍然存在,那就是大多数公民缺乏理解公开数据中提出的复杂法律术语的能力。本文使用的研究方法是文献综述,并提出通过使用自然语言处理和计算机视觉实现基于人工智能的解决方案来解决这些挑战。这些工具可用于制作高质量、可检索的文本,并生成简化的立法程序摘要,从而解决上述两个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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