← Search

Louisa Cornelis

1 accepted papers

2026

When Machine Learning Gets Personal: Evaluating Prediction and Explanation

ICLR 2026poster

In high-stakes domains like healthcare, users often expect that sharing personal information with machine learning systems will yield tangible benefits, such as more accurate diagnoses and clearer explanations of contributing factors. However, the validity of this assumption remains largely unexplor…

Cited by 0SourceScholar