 Hi, I'm Misha. I work on AI Fairness at the MIT IBM Watson AI Lab in Cambridge. I'm here to answer three questions about IBM's work in AI Fairness. Each day, AI introduces new benefits for business and society, but this powerful technology must be researched, trained, and deployed into the world responsibly. At IBM, we are continuing to research and develop tools and methods that can create more trustworthy and responsibly AI systems. One example is our new Python library in Fairness, which is designed to train and audit machine learning models for individual Fairness. It is also the first open source library for individual Fairness. We want to help developers and data scientists to start incorporating Fairness into their workflows. So we are also creating Fairness with full ability tools and releasing demos and tutorials to demystify AI Fairness. In the next video, my colleague, Sumia, will share another new technique under way at the lab. It is designed to reduce bias in AI systems. And please check out our Fairness toolkit on GitHub. Thank you.