Bias in AI refers to systematic errors or prejudices that can occur within AI systems due to biased training data, faulty algorithms, or human biases. Addressing bias in AI is crucial for ensuring fairness, inclusiveness, and ethical practices in AI applications.
Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…