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.
Reinforcement Learning is a branch of AI that focuses on training agents to make decisions through trial and error in a specific environment. By…