An empirical study on the perceived fairness of realistic, imperfect machine learning models

Research article (Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020) · cited 109× · AI/ML
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An empirical study on the perceived fairness of realistic, imperfect machine learning models

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An empirical study on the perceived fairness of realistic, imperfect machine learning models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empirical study on the perceived fairness of realistic, imperfect machine learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-on-the-perceived-fairness-of-realistic-imperfect-machine-learning-models
MLA “An empirical study on the perceived fairness of realistic, imperfect machine learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-on-the-perceived-fairness-of-realistic-imperfect-machine-learning-models.
BibTeX @misc{4ortxyz_an-empirical-study-on-the-perceived-fairness-of-realistic-imperfect-machine-learning-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical study on the perceived fairness of realistic, imperfect machine learning models}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-on-the-perceived-fairness-of-realistic-imperfect-machine-learning-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An empirical study on the perceived fairness of realistic, imperfect machine learning models — https://4ort.xyz/entity/an-empirical-study-on-the-perceived-fairness-of-realistic-imperfect-machine-learning-models (retrieved 2026-05-24)

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