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.
A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…
