Ethical AI, in simple words, is about ensuring your AI models are fair, ethical, and unbiased.
So how does bias get into the model? Let’s assume you are building an AI model that provides salary suggestions for new hires. As part of building the model, you have taken gender as one of the features to suggest salary. The model is trying to discriminate salary based on gender. In the past, this bias went through human judgments and various social and economic factors (https://en.wikipedia.org/wiki/Gender_pay_gap), but if you include this bias as part of the new model, it's a recipe for disaster. The whole idea is to build a model that is not biased and suggests salary based on people's experiences and merits.