MLS210-8: Machine learning and society: Bias, fairness, and explainability

Using real world examples, this session will explore the role of Machine Learning and society today to understand, measure and systematically mitigate bias in machine learning models. Understanding the current landscape helps to ensure we are developing this technology in a responsible way - working to support fairness and explainability. This session covers both the business and technical considerations.