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Algorithmic Fairness and its Limits in Group-Formation
(CEUR, 2020-10-21)
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Abstract. Algorithmic group formation has become a flourishing research area in the computer sciences, and more recently in the field of data mining and fair machine learning. Application domains for algorithmic solutions ...
Uncanny Kennings : Provocation and Fugue on the Anasemic Unheimliche
(2020-12-01)
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Towards a Conception of Sociotechnical Pathology
(CEUR, 2021)
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The concept of social pathology has long belonged to the toolkit of social scientists, and several critical social philosophers have found it indispensable for linking social ontology to social criticism. While different ...
Computing Apples and Oranges? : Implications of Incommensurability for (Fair) Machine Learning
(University of Turku, 2022)
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Using Fairness Metrics as Decision-Making Procedures: Algorithmic Fairness and the Problem of Action-Guidance
(CEUR, 2023)
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Frameworks for fair machine learning are envisioned to play an important practical role in the evaluation, training, and selection of machine learning models. In particular, fairness metrics are meant to provide responsible ...
'Explanation and Understanding' Revisited
(The Philosophical Society of Finland, 2017)
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