A machine learning (ML) model incorporating both clinical and genomic ... retrospective data analysis, and potential referral bias associated with specialized cancer centers. To address these ...

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 ...

AI systems, including large language models (LLMs), exhibit "social identity bias," favoring ingroups and disparaging ...

A new MIT technique improves machine learning by removing key biased data points, boosting model performance for minority ...

From the early days of mechanical automatons to more recent conversational bots, scientists and engineers have dreamed of a ...

Sora has been available mainly to a small group of safety testers, or “red-teamers,” who test the model for vulnerabilities ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general ...