Mar 15–18, 2020
Sarah Bird

Sarah Bird
Principle Program Manager, Microsoft

Sarah Bird is a principle program manager at Microsoft, where she leads research and emerging technology strategy for Azure AI. Sarah works to accelerate the adoption and impact of AI by bringing together the latest innovations research with the best of open source and product expertise to create new tools and technologies. She leads the development of responsible AI tools in Azure Machine Learning. She’s also an active member of the Microsoft Aether committee, where she works to develop and drive company-wide adoption of responsible AI principles, best practices, and technologies. Previously, Sarah was one of the founding researchers in the Microsoft FATE research group and worked on AI fairness in Facebook. She’s an active contributor to the open source ecosystem; she cofounded ONNX, an open source standard for machine learning models and was a leader in the PyTorch 1.0 project. She was an early member of the machine learning systems research community and has been active in growing and forming the community. She cofounded the SysML research conference and the Learning Systems workshops. She holds a PhD in computer science from the University of California, Berkeley, advised by Dave Patterson, Krste Asanovic, and Burton Smith.


9:00am12:30pm Monday, March 16, 2020
Location: LL21 E/F
Mehrnoosh Sameki (MERS) (Microsoft), Sarah Bird (Microsoft)
Mehrnoosh Sameki and Sarah Bird examine six core principles of responsible AI: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. They focus on transparency, fairness, and privacy, and they cover best practices and state-of-the-art open source toolkits that empower researchers, data scientists, and stakeholders to build trustworthy AI systems. Read more.

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