Singer’s work focuses on the intersection of business, technology and society and has received multiple national awards. She is currently writing a book for W.W. Norton examining the meteoric rise of computer science education in public schools.
For her project, Singer will examine the historical parallels and differences between the Cold War push for physics education in U.S. high schools in the 1950s and current efforts by tech companies and nonprofits to normalize computer science education in American public schools.
Karen Hao, the senior AI editor at MIT Technology Review, has also been named a fellow.
Hao’s work is in covering the field’s cutting-edge research and its impacts on society. Her work is regularly taught in universities, including Harvard, Stanford, and Yale, and cited in government reports and by Congress.
For her fellowship project, Hao will investigate the global AI supply chain and how it often concentrates power into the hands of wealthy people, companies, and nations while leaving the less fortunate with little privacy, agency, or benefit.
See all of the fellows here.
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