Responsible AI with Azure Machine Learning
Responsible AI with Azure Machine Learning

Abstract: 

As AI reaches critical momentum across industries and applications, it becomes essential to ensure the safe and responsible use of AI. AI deployments are increasingly impacted by the lack of customer trust in the transparency, accountability, and fairness of these solutions. In this demo, we are discussing the latest responsible AI developments in Azure Machine Learning and discuss how these new responsible ML capabilities in Azure Machine Learning and our open-source toolkits empower data scientists and developers to understand ML models better.

Bio: 

Mehrnoosh Sameki is a senior technical program manager at Microsoft, responsible for leading the product efforts on machine learning interpretability and fairness within the Azure Machine Learning platform. She earned her PhD degree in computer science at Boston University, where she currently serves as an adjunct assistant professor and lecturer, offering courses in responsible AI. Previously, she was a data scientist in the retail space, incorporating data science and machine learning to enhance customers’ personalized shopping experiences.