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Enabling responsible AI development with new open source capabilities 

At last year’s Microsoft Build conference in May 2020, Microsoft introduced three responsible AI (RAI) toolkits available in both open source as well as integrated within Azure Machine Learning: InterpretML, Fairlearn, and SmartNoise. These tools enable machine learning data scientists to understand model predictions, assess fairness, and protect sensitive data. Building on this family of...Read more

Introducing the new differential privacy platform from Microsoft and Harvard’s OpenDP 

The code for a new open source differential privacy platform is now live on GitHub. The project is jointly developed by Microsoft and Harvard’s Institute for Quantitative Social Science (IQSS) and the School of Engineering and Applied Sciences (SEAS) as part of the OpenDP initiative. We’ve released the code to give developers around the world...Read more