Maggie Beiting-Parrish is an internal subject matter expert on AI and education and an Impact Fellow alumnus. She served at the Department of Education, where she applied text analysis to improve the automated scoring of student learning products. Previously, she was an NYC Teaching Fellow and worked as a researcher and curriculum developer for special populations. Her expertise spans qualitative and quantitative research, with a focus on psychometrics, machine learning, and test design and analysis. She earned her PhD in Educational Psychology – Quantitative Methods from the CUNY Graduate Center.
For the United States to continue to be a competitive global power in technology and innovation, we need a workforce that understands how to use, apply, and develop new innovations using AI and Data Science.
The Department of Education must provide guidance for education decision-makers to evaluate AI solutions during procurement, to support EdTech developers to mitigate bias in their applications, and to develop new fairness methods.