超越机器人债务:机器人过程自动化的未来

Michael D'Rosario, Carlene D'Rosario
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引用次数: 1

摘要

具有高风险决策过程的自动化决策支持系统经常引起争议。“网上合规干预”(以下简称“本处”或“自动债务”)是一套合规系统,旨在协助向领取福利金收据并超出其应享权利的个人自动发出法定债务通知。该系统似乎采用了基本的数据搜集和专家系统来确定是否应该有效地发出通知。然而,许多收到债务通知的个人声称,这些通知是错误发出的。对该制度的评论导致许多人将该制度与其他类型的制度混为一谈,并使许多人质疑决策支持系统在公共行政中的作用,因为这种制度对最脆弱的人可能产生有害影响。作者采用机器人过程自动化(RPA)问题的分类法,更一般地审查OCI和RPA。本文指出了偏见、不一致、程序公平和整体系统错误等潜在问题。本研究还考虑了一系列关于承包商安排的机器人债务具体问题以及该系统对澳大利亚土著人口的潜在影响。作者根据观察到的挑战提出了一系列建议,强调了适度、独立算法审计和持续审查的重要性。最值得注意的是,本文强调需要更大的透明度和扩大确定脆弱性的标准,包括时间、地理和技术方面的考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond RoboDebt: The Future of Robotic Process Automation
Automated decision support systems with high stake decision processes are frequently controversial. The Online Compliance Intervention (herewith “OCI” or “RoboDebt”) is a system of compliance implemented with the intention to facilitate automatic issuance of statutory debt notices to individuals, taking a receipt of welfare payments and exceeding their entitlement. The system appears to employ rudimentary data scraping and expert systems to determine whether notices should be validly issued. However, many individuals that take receipt of debt notices assert that they were issued in error. The commentary on the system has resulted in a lot of conflation of the system with other system types and caused many to question the role of decision of support systems in public administration given the potentially deleterious impacts of such systems for the most vulnerable. The authors employ a taxonomy of Robotic Process Automation (RPA) issues, to review the OCI and RPA more generally. This paper identifies potential problems of bias, inconsistency, procedural fairness, and overall systematic error. This research also considers a series of RoboDebt specific issues regarding contractor arrangements and the potential impact of the system for Australia's Indigenous population. The authors offer a set of recommendations based on the observed challenges, emphasizing the importance of moderation, independent algorithmic audits, and ongoing reviews. Most notably, this paper emphasizes the need for greater transparency and a broadening of criteria to determine vulnerability that encompasses, temporal, geographic, and technological considerations.
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