For all those who missed the first sessions of the Explainable AI research groups, please find the meeting recording link below.

What is Explainable AI? Explainable AI is methodology to explain the solutions of the Artificial Intelligence to the real world problems. Explainable AI is the bridge between what model understands while doing prediction and providing explanation for it the humans. As technology is expanding into various domains right from shopping to academics to and other niche domains such as house cleaning - it is significantly impacting our lives. Today, there is a surge in data all around, and the use of machine learning as gone up exponentially which is hugely impacting life. Making a machine trustworthy and reliable is one of the most important goals of data science today. Models are many times used as black boxes, wherein we give input, know little of what happens inside the model, and get an output.