Machine learning models are increasingly used to inform high-stakes decisions. In this session, we will explore what it means to build a trustworthy AI system covering aspects of fairness, explainability, and transparency.
We will be exploring open-source packages that can help in the aspect of fairness and explainability. Also, learn about Factsheets that can help increasing model transparency.
Join us and let us take a step towards making trustworthy AI systems.