Comment on "Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care"
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Abstract (arXiv)
In this paper we examine the claims made by Bullock et. al. on the applicability of black-box injury risk approaches in the sports injury domain. Overall, we agree that transparency is necessary for Machine Learning models to be useful in this field. However, there are areas of research that address precisely the concerns of the authors and strongly temper their conclusions. In the following we look at how these issues are being tackled by the Machine Learning community.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 5 Apr 2022.
Builds on
3 of 12 references.
References · 3
- 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
- 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,070
- 2019InterpretML: A Unified Framework for Machine Learning Interpretabilitycited by 246
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