Investigating AI fairness in educational settings

• In Event: CLT- Investigating AI fairness in educational settings

Short Description

This research aims to promote “Fair, Accountable, and Transparent (FAccT)” AI in education. Investigating AI-related issues specifically in educational settings outside the computer science field can bring out significant implications to the area of Informatics and Data Science. Firstly, this research has the potential to expand the humanistic dimension of the Informatics and Data Science field. Secondly, this research has the potential to build the public’s trust to the analytical results of data analysis.

Authors

• Contributor: Bo Pei, University of Florida

• Presenter: Wanli Xing, University of Florida