“How human-centered tech can beat COVID-19 through contact tracing” Mary L. Gray, Margaret Bourdeaux, and Barbara Grosz co-author this op-ed on the practical …
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SSRC | Queer Perspectives on Digital Research: A Conversation with Mary Gray
"Queer Perspectives on Digital Research: A Conversation with Mary Gray" Penelope Weber interviews Mary L. Gray, reflecting on her time with the SSRC's Sexuality …
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McGannon Center Book Prize | Ghost Work Announced 2019 Winner
Announcement from the McGannon Center's Director, Olivier …
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Digital Future Society | A walk with Mary L. Gray
“A walk with Mary Gray – Long version interview” Mary L. Gray in conversation with Digital Future Society, Digital Future Society, December 4th, 2019 …
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DistantJob Podcast | Remote work models with Microsoft’s Researcher Mary L. Gray
DistantJob Podcast: Remote work models with Microsoft's Researcher Mary L. Gray on Apple Podcasts Want to know how to get social at work even if …
ZDNet | Ghost Work Book Review
"The technology industry loves nothing better than to dress up something old in idealistic language and offer it up as a bright, new benefit. Flea markets …
Financial Times | Ghost Work on Critics’ Best Books of 2019 List
"Ghost Work chosen as one of the best books of 2019 by the Financial Times’ critics’ picks: Gillian Tett, chair FT editorial board (US): “We have heard a lot of …
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Tech Talks Daily Podcast | Are We Building a New Global Underclass?
Tech Talks Daily Podcast | Are We Building a New Global Underclass? “1023: Ghost Work – Are We Building a New Global Underclass”. Neil C. Hughes, The Tech …
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CTXT Revista Contexto | Data collectors: the hidden face of artificial intelligence
“Data collectors: the hidden face of artificial intelligence.” By Gabriela Martinez, CTXT Revista Contexto November 6th, 2019 Read the full article on CTXT …
IAS Workshop on Social and Ethical Challenges in Machine Learning | Mary L. Gray Presents as Public Plenary Speaker
Watch Mary L. Gray’s presentation at the Institute for Advanced Study (IAS) Workshop on Social and Ethical Challenges in Machine Learning, Algorithmic Cruelty …