This article was contributed by Loren Goodman, cofounder and CTO at InRule Technology. Traditional machine learning (ML) does only one thing: it makes a prediction based on historical data. Machine ...

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 ...

As artificial intelligence (AI) usage has grown, the potential of bias in AI has gained more attention, as evidenced by Google Trends data (Figure 1). A recent study 1 by Herrera-Berg et al. (2023) ...

Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...

Just like humans, artificial intelligence (AI) machine learning models are prone to bias. Understanding the nature of AI bias is paramount for critical applications that may impact life-or-death ...

CAMBRIDGE, MA — Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts ...