Problem Formulation and Use Case Identification of AI in Government: Results from the Literature Review

Tupokigwe Isagah, Soumaya I Ben Dhaou
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Abstract

The application of Artificial Intelligence (AI) technology has the potential to provide benefits to government and society and can present the next step in digital government development as the enable to make informed decisions, creation personalised service and detection of fraud in community. Despite these contributions, the technology can also create biases and discrimination in communities and among other risks. So far, the literature is focused on the technology level addressing performance efficiency and process improvement. In contrast, the literature lacks a comprehensive approach for planning AI projects and use case identification for government and public service delivery. The core question addressed in this paper is what factors should be considered when determining AI-related problems and establishing viable use cases. To address this question, the paper critically reviews existing approaches using the Context, Content, and Process (CCP) framework to identify problems and formulate AI use cases. Findings from the review rationalise the research gap and propose preliminary components that are significant in planning AI projects for the government.
人工智能在政府中的问题表述和用例识别:文献综述的结果
人工智能(AI)技术的应用有可能为政府和社会带来好处,并可以为数字政府发展的下一步提供支持,使其能够做出明智的决策,提供个性化的服务和发现社区中的欺诈行为。尽管有这些贡献,但该技术也可能在社区中造成偏见和歧视,并带来其他风险。到目前为止,文献主要集中在解决性能效率和过程改进的技术层面。相比之下,文献缺乏规划人工智能项目和政府和公共服务交付用例识别的综合方法。本文解决的核心问题是,在确定与人工智能相关的问题和建立可行的用例时,应该考虑哪些因素。为了解决这个问题,本文批判性地回顾了使用上下文、内容和过程(CCP)框架来识别问题和制定人工智能用例的现有方法。审查的结果合理化了研究差距,并提出了对政府规划人工智能项目具有重要意义的初步组成部分。
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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