Channel: PyData

Category: Science & Technology

Tags: pythonlearn to codeeducationsoftwarepydatalearncodinghow to programjuliaopensourcescientific programmingnumfocuspython 3tutorial

Description: Assessing and Mitigating Unfairness in AI Systems Speaker: Manojit Nandi Summary This workshop aims to help data science practitioners navigate the sociotechnical challenges of AI fairness. In the first half of the workshop, we walk participants through a Jupyter notebook showing how Fairlearn can be used to assess and mitigate unfairness in ML models. In the second half, a panel of speakers will discuss best practices for improving fairness of real-world AI systems. Description Fairness in AI systems is an interdisciplinary field of research and practice that aims to understand the negative impacts of AI, with an emphasis on improving and supporting historically marginalized and underserved communities. In this workshop, we first walk participants through an hour-long tutorial on assessing and mitigating fairness-related harms in the context of an U.S. healthcare scenario. Participants will learn how to use the Fairlearn library to assess machine learning models for performance disparities across different racial groups. In the second part of this workshop, we invite researchers and industry practitioners to speak on a panel about sociotechnical challenges data scientists face when applying fairness methodology to their work. The panel will be moderated by Michael Madaio, Postdoctoral Researcher at Microsoft Research. The panelists will first introduce themselves, and then answer some moderator-provided questions about documenting responsible AI practices, discussing fairness within your team and organization, and incorporating fairness in the design and evaluation of AI systems. Manojit Nandi's Bio Manojit is a data scientist at Microsoft Research where he contributes to the Fairlearn library. He is interested in understanding the challenges data scientists face when incorporating fairness practices into their workflow. GitHub: github.com/LeJit Twitter: twitter.com/mnandi92 PyData Global 2021 Website: pydata.org/global2021 LinkedIn: linkedin.com/company/pydata-global Twitter: twitter.com/PyData pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: github.com/numfocus/YouTubeVideoTimestamps