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Article ID: CBB775587512

The Trouble with Algorithmic Decisions: An Analytic Road Map to Examine Efficiency and Fairness in Automated and Opaque Decision Making (January 2016)

Science, Technology, and Human Values
Volume: 41
Issue: 1
Pages: 118-132
Publication date: January 2016
Language: English

DOI: 10.1177/0162243915605575

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Information technology Science and technology studies (STS) Credit scoring systems Big data Technology and politics Autonomy Privacy Technological determinism Algorithms Public policy 21st century

We are currently witnessing a sharp rise in the use of algorithmic decision-making tools. In these instances, a new wave of policy concerns is set forth. This article strives to map out these issues, separating the wheat from the chaff. It aims to provide policy makers and scholars with a comprehensive framework for approaching these thorny issues in their various capacities. To achieve this objective, this article focuses its attention on a general analytical framework, which will be applied to a specific subset of the overall discussion. The analytical framework will reduce the discussion to two dimensions, every one of which addressing two central elements. These four factors call for a distinct discussion, which is at times absent in the existing literature. The two dimensions are (1) the specific and novel problems the process assumedly generates and (2) the specific attributes which exacerbate them. While the problems are articulated in a variety of ways, they most likely could be reduced to two broad categories: efficiency and fairness-based concerns. In the context of this discussion, such problems are usually linked to two salient attributes the algorithmic processes feature—its opaque and automated nature.

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Article Malte Ziewitz (January 2016) Governing Algorithms: Myth, Mess, and Methods. Science, Technology, and Human Values (pp. 3-16). unapi

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