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Fairness in Algorithmic Decision-making
Author(s) -
Adam Harkens
Publication year - 2019
Publication title -
amicus curiae
Language(s) - English
Resource type - Journals
eISSN - 2048-481X
pISSN - 1461-2097
DOI - 10.14296/ac.v1i1.5067
Subject(s) - expansive , context (archaeology) , function (biology) , affect (linguistics) , law and economics , management science , computer science , political science , economics , sociology , paleontology , materials science , compressive strength , communication , evolutionary biology , composite material , biology
This article discusses conceptions of fairness in algorithmic decision-making, within the context of the UK’s legal system. Using practical operational examples of algorithmic tools, itargues that such practices involve inherent technical trade-offs over multiple, competing notions of fairness, which are further exacerbated by policy choices made by those public authorities who use them. This raises major concerns regarding the ability of such choices to affect legal issues in decision-making, and transform legal protections, without adequate legal oversight, or a clear legal framework. This is not to say that the law does not have the capacity to regulate and ensure fairness, but that a more expansive idea of its function is required.

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