Bias-Variance Tradeoff - How do you fix bias-variance tradeoff?

Achieving a balance in the model's sensitivity to the training data is essential for addressing the bias-variance tradeoff. An inability to respond to changes in the data means that adding more datasets won't always help a model with low bias or underfitting. Increasing the variance, which usually requires adding additional data, would be the solution to the problem of excessive bias in this instance.