Algorithmic Accountability and Public Reason

Philosophy and Technology 31 (4):543-556 (2018)
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Abstract

The ever-increasing application of algorithms to decision-making in a range of social contexts has prompted demands for algorithmic accountability. Accountable decision-makers must provide their decision-subjects with justifications for their automated system’s outputs, but what kinds of broader principles should we expect such justifications to appeal to? Drawing from political philosophy, I present an account of algorithmic accountability in terms of the democratic ideal of ‘public reason’. I argue that situating demands for algorithmic accountability within this justificatory framework enables us to better articulate their purpose and assess the adequacy of efforts toward them.

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Reuben Binns
University of Southampton

Citations of this work

Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.
Explaining Explanations in AI.Brent Mittelstadt - forthcoming - FAT* 2019 Proceedings 1.
The Concept of Accountability in AI Ethics and Governance.Theodore M. Lechterman - forthcoming - In Justin Bullock, Y. C. Chen, Johannes Himmelreich, V. Hudson, M. Korinek, M. Young & B. Zhang (eds.), The Oxford Handbook of AI Governance. Oxford: Oxford University Press.

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