We are happy to announce the August R Govys seminar, which is co-sponsored by the ASA Data Science and AI Committee. Details are given below and in the attached flyer. Feel free to share with friends and colleagues. Registration (free) in advance is required.
Title: "Designing Against Bias in Machine Learning and AI"
Speaker: David Corliss
Abstract: Bias in machine learning algorithms is one of the most important ethical and operational issues in statistical practice today. This presentation describes common sources of bias and how to develop study designs to measure and minimize it. Analysis of disparate impact is used to quantify bias in existing and new applications. Also, a comparison algorithm can be developed that is designed to be fully transparent and without features subject to bias. Comparison to this bias-minimized model can identify areas as bias in other algorithms. These design strategies are described in detail with practical examples in R.
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When: Aug 15, 2024 03:00 PM Eastern Time (US and Canada)
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Topic: R Govys August: Designing Against Bias in Machine Learning and AI
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Sponsors: R Govys, American Statistical Association AI and Data Science Committee
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Register in advance for this webinar:
After registering, you will receive a confirmation email containing information about joining the webinar.
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Wendy Martinez
Pronouns: she, they
Senior Mathematical Statistician for Data Science
US Census Bureau
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