In the context of bias-variance tradeoff, does a high-bias model typically underfit or overfit the data?

Underfit

High bias occurs when a model is too simple to capture the underlying patterns in the data (e.g., using a linear model for non-linear data). This results in poor performance on both the training and test sets.