Can machine learning bring more diversity to STEM? | AI / Machine Learning - Harvard School of Engineering and Applied Sciences

Postdoctoral researcher will use AI to study implicit bias in middle school students, according to Adam Zewe, Communications Manager at Harvard School of Engineering and Applied Sciences. 

Photo: Haewon Jeong

Even though progress has been made over the past decades, gender and racial disparities in STEM (science, technology, math, and engineering) fields continue to persist.

A 2021 Pew Research study found that only 9 percent and 8 percent of STEM jobs are held by Black and Hispanic workers, respectively. And while the study found that women hold 50 percent of all STEM jobs (including health-related jobs), the percentages are far lower for jobs in physical sciences (40 percent), computing (25 percent), and engineering (15 percent).

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