When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

AI technologies, including large language models (LLMs) like ChatGPT, continue to develop and permeate the academic landscape at an accelerated pace. As student use of AI for coursework increases, it ...

Artificial intelligence has developed quickly over just the past year. However, the technology still faces a big problem that can have potential devastating real-world consequences — AI bias. People ...

Based on the comprehensive findings of a review, investigators outline several crucial policy implications, each designed to address the complex issue of bias mitigation in clinical algorithms ...

Tools powered by artificial intelligence (AI) promise to diagnose diseases faster, personalize treatments, and streamline hospital workflows. It’s something that’s been demonstrated in multiple ...

Whenever we talk about artificial intelligence, the problem of bias is never far behind. All kinds of insidious patterns can get embedded in these systems because they’re trained on data from our ...

The most popular data are vital signs, which include such things as blood pressure, heart rate, respiration rate, temperature, oxygen saturation and so forth. Often these data are fed into the EHR ...