Bias

In the context of AI and machine learning, bias refers to the tendency of a model to make unfair or incorrect predictions due to the data it was trained on. This can occur if the training data is not representative of the real-world scenarios where the model will be applied. Addressing bias is crucial to ensure fairness and accuracy in AI systems.