It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy

Research article (2022 ACM Conference on Fairness, Accountability, and Transparency, 2022) · cited 83× · AI/ML
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It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy

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APA 4ort.xyz Knowledge Graph. (2026). It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy. Retrieved May 24, 2026, from https://4ort.xyz/entity/its-just-not-that-simple-an-empirical-study-of-the-accuracy-explainability-trade-off-in-machine-learning-for-public-poli
MLA “It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/its-just-not-that-simple-an-empirical-study-of-the-accuracy-explainability-trade-off-in-machine-learning-for-public-poli.
BibTeX @misc{4ortxyz_its-just-not-that-simple-an-empirical-study-of-the-accuracy-explainability-trade-off-in-machine-learning-for-public-poli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy}}, year = {2026}, url = {https://4ort.xyz/entity/its-just-not-that-simple-an-empirical-study-of-the-accuracy-explainability-trade-off-in-machine-learning-for-public-poli}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy — https://4ort.xyz/entity/its-just-not-that-simple-an-empirical-study-of-the-accuracy-explainability-trade-off-in-machine-learning-for-public-poli (retrieved 2026-05-24)

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