AI models are filled to the brim with bias, whether that's showing you a certain race of person when you ask for a pic of a criminal or assuming that a woman can't possibly be involved in a particular ...
Study: American Life in Realtime: Benchmark, publicly available person-generated health data for equity in precision health. Image credit: Lomb/Shutterstock.com Their approach addresses the ...
Among the many benefits of artificial intelligence touted by its proponents is the technology’s potential ability to help solve climate change. If this is indeed the case, the recent step changes in ...
Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...
Researchers have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased. An Oregon State University doctoral student and ...
As chief data officer for the Cybersecurity and Infrastructure Security Agency, Preston Werntz has made it his business to understand bias in the datasets that fuel artificial intelligence systems.
As artificial intelligence proliferates across healthcare, with AI now used for clinical and financial imperatives from disease diagnosis to cost and capacity predictions, there's big potential for ...
Adobe researchers have created a new AI training method called FairDeDup in collaboration with an Oregon State University doctoral student. This approach aims to mitigate social biases inherent in AI ...