Propose the use of a sparsity penalty as a regularizer in your high-stakes image classification model, justifying its benefits for handling data scarcity while addressing overfitting concerns.

Introduce the sparsity penalty to encourage sparse feature extraction and reduce overfitting. As described, this regularizer does not have a straightforward Bayesian interpretation, making it suitable for high-stakes decision-making despite the absence of explicit interpretability.