Nadia Fawaz |
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Senior Staff Applied Research Scientist - Tech Lead Inclusive AI
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Tech Vision Talk: Inclusive Search and Recommendations
Abstract: To truly bring everyone the inspiration to create a life they love, Pinterest is committed to content diversity and to developing inclusive search and recommendation engines. A top request we hear from Pinners is that they want to feel represented in the product, which is why we built the skin tone ranges and hair pattern technologies. These machine learning technologies are paving the way for more inclusive inspirations in Search and in our augmented reality technology Try-On, and are also driving advances for more diverse recommendations across the platform. Developing inclusive AI in production requires an end-to-end iterative and collaborative approach. We have learned the importance of building inclusive systems by design, of measuring to make progress, and of leveraging both artificial and human intelligence. We recognize that these challenges are multi-disciplinary, not just technical.
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Biography
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Nadia is a Senior Staff Applied Research Scientist and the Tech Lead for Inclusive AI at Pinterest. Her research and engineering interests include machine learning for personalization, AI fairness and data privacy, and her work aims at bridging theory and practice. She was named one of the 100 Brilliant Women in AI Ethics 2021, and her work on inclusive AI was featured in many news outlets, including The Wall Street Journal, Fast Company, Vogue Business and CBS. Earlier, she was a Staff Software Engineer in Machine Learning at LinkedIn, a Principal Research Scientist at Technicolor Research lab, and a postdoctoral researcher at the Massachusetts Institute of Technology, Research Laboratory of Electronics. She received her Ph.D. in 2008 and her Diplome d'ingenieur (M.Sc.) in 2005 both in EECS from Telecom ParisTech and EURECOM, France. She is a member of the IEEE and of the ACM
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