Responsible and Ethical AI — Building Explainable Models Ethical AI, in simple words, is to ensure that your AI models are fair, ethical and unbiased.
So how does the bias fit into the model? Suppose you are building an AI model that offers salary suggestions for new hires. As part of building the model, you have taken gender as an indicator of salary. The model is trying to discriminate based on gender. In the past, this bias went through human judgments and various social and economic factors but if you include this part of the new model, it is a recipe for disaster. The whole idea is to build a salary model based on people's experiences and qualifications that are non-partisan.
Take another example of an app that provides restaurant recommendations to the user and allows the user to book a table. The AI application is designed to look at the amount spent on previous transactions and restaurant ratings (along with other features), and the AI system begins recommending expensive restaurants. While there are good low-cost restaurants nearby, those restaurants may not be one of the top recommendations. Also, the amount of money the user spends represents more revenue per restaurant application. So in short, you are driving