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.
Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…