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 ...
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 ...
Business Wire

InRule Technology Enhances Machine Learning Platform with Bias Detection to Reduce Risk and Deliver Fairness Through Awareness

CHICAGO--(BUSINESS WIRE)--InRule Technology ®, provider of AI-enabled, end-to-end automation for the enterprise, today introduced bias detection features within xAI Workbench, the company’s suite of ...
Seeking Alpha

Fujitsu and the Linux Foundation launch Fujitsu's automated machine learning and AI fairness technologies as Linux Foundation hosted open source projects

Japan's leading developer of new AI technologies Fujitsu accelerates its commitment to open source innovation with new projects hosted in LF AI & Data Fujitsu accelerates its commitment to open source ...