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This event is in the past.It took place on November 12, 2025 at Institute for Social Research.

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Achieving Fairness in AI with Synthetic Data 1

Educational Talk

Achieving Fairness in AI with Synthetic Data 2

Achieving Fairness in AI with Synthetic Data 3

Achieving Fairness in AI with Synthetic Data 4

Achieving Fairness in AI with Synthetic Data 5

Achieving Fairness in AI with Synthetic Data

Educational Talk

Achieving Fairness in AI with Synthetic Data

Name: Achieving Fairness in AI with Synthetic Data
Start: 2025-11-12T12:00:00-05:00
End: 2025-11-12T13:00:00-05:00
Location: Institute for Social Research

At Institute for Social Research

Old Fourth Ward

Explore the intersection of AI and fairness with Dr. Bei Jiang's seminar on synthetic data. Learn how the FDA framework mitigates bias in machine learning, balancing equity and data integrity.

AI Ethics

Data Science

Academic Seminar

Virtual Option

Institute for Social Research

426 Thompson St, Ann Arbor, MI 48104, USA

+1 734-764-8354

events.umich.edu

Directions

Achieving Fairness in AI with Synthetic Data

At Institute for Social Research

Old Fourth Ward

Educational Talk

Explore the intersection of AI and fairness with Dr. Bei Jiang's seminar on synthetic data. Learn how the FDA framework mitigates bias in machine learning, balancing equity and data integrity.

AI Ethics

Data Science

Academic Seminar

Virtual Option

Directions

Institute for Social Research

426 Thompson St, Ann Arbor, MI 48104, USA

+1 734-764-8354

events.umich.edu

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