The results have been impressive by the metrics that matter to technology teams: accuracy rates, processing speeds, cost ...

Abstract: The necessity of making prediction is no longer sufficient in uncertain and dynamic environments and decision-making systems have to acquire an idea of causal relations to be effective and ...

Financial services has always been an industry where accountability is non-negotiable. Every credit decision carries a paper ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Trained biostatisticians play a central role in clinical science and public health. Brown’s online master’s in biostatistics ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

A novel study has revealed a link between extreme weather and the risk of cardiovascular disease among middle-aged and older ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

Abstract: Existing flood resilience assessments face a fundamental trade-off: correlational analyses of real-world data suffer from confounding bias, while simulations of hypothetical scenarios lack ...

This report describes how the SEI applied causal discovery to LLM summarization, exemplifying a way to address bias when evaluating complex new technology. As the SEI’s body of causal work has evolved ...