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Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches
arXiv - CS - Artificial Intelligence Pub Date : 2021-02-23 , DOI: arxiv-2102.11567
Nils Köbis, Christopher Starke, Iyad Rahwan

Corruption continues to be one of the biggest societal challenges of our time. New hope is placed in Artificial Intelligence (AI) to serve as an unbiased anti-corruption agent. Ever more available (open) government data paired with unprecedented performance of such algorithms render AI the next frontier in anti-corruption. Summarizing existing efforts to use AI-based anti-corruption tools (AI-ACT), we introduce a conceptual framework to advance research and policy. It outlines why AI presents a unique tool for top-down and bottom-up anti-corruption approaches. For both approaches, we outline in detail how AI-ACT present different potentials and pitfalls for (a) input data, (b) algorithmic design, and (c) institutional implementation. Finally, we venture a look into the future and flesh out key questions that need to be addressed to develop AI-ACT while considering citizens' views, hence putting "society in the loop".

中文翻译:

人工智能作为一种反腐败工具(AI-ACT)-自上而下和自下而上方法的潜力和陷阱

腐败仍然是我们这个时代最大的社会挑战之一。人工智能(AI)有望成为公正的反腐败代理。越来越多的可用(开放)政府数据与此类算法的空前性能相结合,使AI成为反腐败的下一个前沿领域。总结了使用基于AI的反腐败工具(AI-ACT)的现有工作,我们引入了一个概念框架来推进研究和政策制定。它概述了AI为什么为自上而下和自下而上的反腐败方法提供独特的工具。对于这两种方法,我们将详细概述AI-ACT如何为(a)输入数据,(b)算法设计和(c)制度实施提供不同的潜力和陷阱。最后,
更新日期:2021-02-24
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