Accountable Artificial Intelligence: Holding Algorithms to Account
2020/08/16 by Madalina Busuioc · 539 citations
Computer Science · Medicine · Social Sciences · #Accountability #Artificial Intelligence in Healthcare and Education #Artificial intelligence #Computer science #Enforcement #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Field (mathematics) #Law #Law and economics #Perspective (graphical) #Political science #Public relations #Sociology
paper · pdf · doi:10.1111/puar.13293
published in Public Administration Review 81(5), 825-836 (Wiley)
openalex publication_date 2020/08/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
Abstract
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.
Citations
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