Exclusive: Almost half of families flagged as emigrants based on Home Office travel data were still living in UK

Paul Meehl's foundational work "Clinical versus Statistical Prediction," provided early theoretical justification and empirical evidence of the superiority of statistical methods over clinical judgmen...

Machine learning models can assign fixed predictions that preclude individuals from changing their outcome. Existing approaches to audit fixed predictions do so on a pointwise basis, which requires ac...

Modern methods for explainable machine learning are designed to describe how models map inputs to outputs--without deep consideration of how these explanations will be used in practice. This paper arg...

Many time series classification tasks, where labels vary over time, are affected by label noise that also varies over time. Such noise can cause label quality to improve, worsen, or periodically chang...

ACM CHI 2025 Workshop on Human-Centered Explainable AI (HCXAI). May 2025 (Yokohama, Japan & hybrid). Submit your Paper (EasyChair)

People often talk about “safety” when discussing the risks of AI causing harm. AI safety means different things to different people, and those looking for a definition here will be disappointed.

A STAT investigation found artificial intelligence is driving Medicare Advantage denials to new heights, cutting off care for seniors.

The book every data scientist needs on their desk. - NannyML/The-Little-Book-of-ML-Metrics

What is the difference of a prediction that is made with a causal model and a non-causal model? Suppose we intervene on the predictor variables or change the whole environment. The predictions from a ...