Algorithmic Bias Continues to Negatively Impact Minoritized Students
Diverse: Issues in Higher Education
JULY 15, 2024
As institutions of higher education turn to AI machine learning and data-driven algorithms to make their work more efficient, a new study published in the American Educational Research Association (AERA) peer-reviewed journal , AERA Open , reminds administrators that algorithms can be racially biased. Dr. Denisa Gándara, assistant professor of educational leadership and policy at the University of Texas at Austin and co-author of the study.
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