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Oct 7, 2021 · We argue that fairness is an inherently social concept and that technologies for AF should therefore be approached through a sociotechnical lens.
A sociotechnical perspective on algorithmic fairness can yield holistic solutions to systemic biases and discrimination. Keywords: algorithmic fairness, ...
Sep 27, 2021 · We advance the discourse on algorithmic fairness as a sociotechnical phenomenon. Our research objective is to embed AF in the sociotechnical view of IS.
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This study examines the conditions under which applicants perceive algorithms as fair and establishes a theoretical foundation of algorithmic fairness ...
This focus allows us to delve deeper into the nuances of algorithmic fairness, offering insights that can be extrapolated to other forms of AI decision-making.
In response, machine learning researchers have developed methods for fairness, many of which rely on equalizing empirical metrics across protected attributes.
A Sociotechnical View of 'Fair' Algorithms in Criminal Justice
ui.adsabs.harvard.edu › abs › abstract
In response, machine learning researchers have developed methods for fairness, many of which rely on equalizing empirical metrics across protected attributes.
May 16, 2023 · We argue that decisions by algorithms at an individual or a group level can change what is considered fair or unfair in society.
Apr 12, 2023 · This paper develops an account of model evaluation—with an emphasis on fairness concerns—that takes the social situatedness of ML models as ...
A key goal of the fair-ML community is to develop machine-learning based systems that, once introduced into a social context, can achieve social and legal ...