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Data Equity: Ensuring Fair Representation in AI Data Sets

Summary

This course digs deep into the benefits of AI and the dire consequences if the data used to create AI tools does not consider fair representation.

This course digs deep into the benefits of AI and the dire consequences if the data used to create AI tools does not consider fair representation. Instructors Mareisha Reese and Mary-Frances Winters share some of the key opportunities and challenges in ensuring fairness in AI datasets. They cover AI definitions related to data analysis, collection, generation, challenges in sourcing diverse datasets, bias, legal and ethical foundations, real-world applications in HR, marketing, and more.

Subjects