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Fall 2021 NYU Tandon ECE Seminar Series on Modern AI: Coding, Coded & Counting: A Bias Continuum
This presentation will review my research trajectory starting from earlier publications to works in progress. My earlier research examined information sharing and the impacts on health organizations and patients given the increased needs to share clinical information. I have continued this research with the expansion into social media, human computer interaction, content design as well as health disparities via comorbid conditions (including breast cancer, mental health, HIV) and data modeling. A central theme of my research is leveraging, creating and using data to assess society (community) needs and the intersection of disparities which exist as along an “implications” continuum. While much of the data created and used is a direct result of embedded notions of “systems” informing a direct outcome the coding, coded and counting (Web of Cs) does not exist in a vacuum. Rather, the coding and coded influence a counting of decisions used that impact lived experiences. For Black and Brown communities, this web of Cs informed algorithmic bias while overlooking factors including context, place and space.

Dr. Fay Cobb Payton is a Full Professor (with Tenure) of Information Technology/Analytics at North Carolina State University and was named a University Faculty Scholar for her leadership in turning research into solutions to society’s most pressing issues. She completed the American Council on Education Fellows (leadership) program. Her research examines AI fairness/bias, data curation, artifact design, healthcare disparities, tech leadership inclusion/exclusion, innovation & entrepreneurship.  She is currently on assignment as a Program Director at the National Science Foundation.

Dec 2, 2021 11:00 AM in Eastern Time (US and Canada)

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