Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems
Jake Stone, Brent Mittelstadt

TL;DR
This paper critically examines the overlooked issue of legitimacy in automated decision systems, arguing that current theories conflate legitimacy with acceptance or other values, and proposes a new research direction based on political philosophy.
Contribution
It provides a philosophical critique of existing legitimacy theories and offers a framework for future research on the legitimacy of automated decision systems.
Findings
Current legitimacy theories often conflate legitimacy with acceptance or fairness.
Analytical political philosophy's concept of legitimacy is ill-suited for ADS.
The paper charts a new research agenda for studying ADS legitimacy.
Abstract
Progress in machine learning and artificial intelligence has spurred the widespread adoption of automated decision systems (ADS). An extensive literature explores what conditions must be met for these systems' decisions to be fair. However, questions of legitimacy -- why those in control of ADS are entitled to make such decisions -- have received comparatively little attention. This paper shows that when such questions are raised theorists often incorrectly conflate legitimacy with either public acceptance or other substantive values such as fairness, accuracy, expertise or efficiency. In search of better theories, we conduct a critical analysis of the philosophical literature on the legitimacy of the state, focusing on consent, public reason, and democratic authorisation. This analysis reveals that the prevailing understanding of legitimacy in analytical political philosophy is also…
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Taxonomy
TopicsEthics and Social Impacts of AI
