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  1. Detecting your depression with your smartphone? – An ethical analysis of epistemic injustice in passive self-tracking apps.Mirjam Faissner, Eva Kuhn, Regina Müller & Sebastian Laacke - 2024 - Ethics and Information Technology 26 (2):1-14.
    Smartphone apps might offer a low-threshold approach to the detection of mental health conditions, such as depression. Based on the gathering of ‘passive data,’ some apps generate a user’s ‘digital phenotype,’ compare it to those of users with clinically confirmed depression and issue a warning if a depressive episode is likely. These apps can, thus, serve as epistemic tools for affected users. From an ethical perspective, it is crucial to consider epistemic injustice to promote socially responsible innovations within digital mental (...)
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  • On Hedden's proof that machine learning fairness metrics are flawed.Anders Søgaard, Klemens Kappel & Thor Grünbaum - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    1. Fairness is about the just distribution of society's resources, and in ML, the main resource being distributed is model performance, e.g. the translation quality produced by machine translation...
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