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ABSTRACT. Meaningful work that gives one a sense of purpose is of great importance to young people who are entering the workforce, especially women. They are even willing to earn less money, provided that they work at a meaningful job. Only 17.9% of computer science graduates are female. More women might enter this field if they are made aware of the meaningful nature of the work. Computer science is an ideal major for students who want to improve the world and make it a better place. The authors examine the literature, and demonstrate how numerous areas including health care, education, the military, environmental studies, and crime prevention are being transformed by technology, especially newer technologies such as artificial intelligence and machine learning.

Keywords: meaningful work; artificial intelligence; machine learning; education; computer science; diversity; cyberwarfare

How to cite: Hoffman, Sarah F., and Hershey H. Friedman (2018). “Machine Learning and Meaningful Careers: Increasing the Number of Women in STEM,” Journal of Research in Gender Studies 8(2): 11–27.

Received 2 August 2017 • Received in revised form 25 September 2017
Accepted 25 September 2017 • Available online 15 October 2017

doi:10.22381/JRGS8120181

SARAH F. HOFFMAN
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Independent Researcher
HERSHEY H. FRIEDMAN
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Department of Business Management,
Murray Koppelman School of Business,
Brooklyn College,
The City University of New York

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