TU Dublin’s Sarah Jane Delany discusses the need for greater gender representation in machine learning and the ongoing challenges around bias in datasets. When we discuss new and emerging trends in ...

A research team at Carnegie Mellon University has introduced a simulation tool designed to assess how machine learning (ML) systems may become increasingly biased over time. Called FairSense, the ...

The researchers claim gendered terms associated with men appear 109 times in the Irish Constitution, while terms associated with women only appear seven times. Researchers from the CeADAR research ...

Computers learning human languages through machine-learning algorithms will also learn human biases, according to research from computer scientists at Princeton. In fact, search engines clearly show ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

Artificial intelligence (AI) may be powering smarter decisions in healthcare, banking, and national security, but a silent flaw continues to weaken its impact: bias against rare but critical events.

A Business and Data Analyst, Olatoye Agboola has called on banks, fintech firms and digital lenders to embrace ...

Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical ...