Accountable Artificial Intelligence: Holding Algorithms to Account

• 成果类型: Article
• 署名作者: Busuioc, Madalina
• 署名单位: Leiden University - Excl LUMC; Leiden University; Leiden University - Excl LUMC; Leiden University
• 刊物名称: PUBLIC ADMINISTRATION REVIEW
• ISSN/ISSBN: 0033-3352
• DOI: 10.1111/puar.13293
• 发表日期: 2021
• 页码: 825-836
• 关键词: administrative discretion; automation bias; street-level

摘要

Artificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live and are transforming our societies. The promise of efficient, low-cost, or neutral solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public services. As AI algorithms have permeated high-stakes aspects of our public existence-from hiring and education decisions to the governmental use of enforcement powers (policing) or liberty-restricting decisions (bail and sentencing)-this necessarily raises important accountability questions: What accountability challenges do AI algorithmic systems bring with them, and how can we safeguard accountability in algorithmic decision-making? Drawing on a decidedly public administration perspective, and given the current challenges that have thus far become manifest in the field, we critically reflect on and map out in a conceptually guided manner the implications of these systems, and the limitations they pose, for public accountability.