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).

Read the full story by

Artificial intelligence bringing education into digital age | Lenovo - SHINE The Future of Deep Learning | Deep Learning - Analytics Insight
We are updating our Privacy Policy, so please make sure you take a minute to review it. As of May 25, 2018 your continued use of our services will be subject to this new Privacy Policy.
Review Privacy Policy OK