EurekAlert!

Injecting fairness into machine-learning models

If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with darker skin, there is serious risk the ...
Business Wire

Exactech Publishes New Machine Learning Research That Evaluates Fairness and Accuracy of AI Predictions

GAINESVILLE, Fla.--(BUSINESS WIRE)--Exactech, a developer and producer of innovative implants, instrumentation, and smart technologies for joint replacement surgery, reports a new study 1 that ...
Marketplace

How to ensure fairness in machine learning models for diagnosing illness

Physicians and medical experts are starting to incorporate algorithms and machine learning in many parts of the health care system, including experimental models to analyze images from X-rays and ...
LittleTechGirl on MSN

Empowering the future of intelligent innovation: Expert perspectives from Mohamed Abdul Kadar Mohamed Jabarullah

Summary: The future of intelligent innovation will receive empowerment through the expert insights of Mohamed Abdul Kada ...
Devdiscourse

AI in critical care: Predictive algorithms can support sepsis decision-making

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...
ascopubs.org

Development and fairness assessment of machine learning models for predicting 30-day readmission after lung cancer surgery.

Implementation of an academic precision oncology service in a community setting. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text ...
Harvard Business School

Rawlsian Fairness for Machine Learning

Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and ...