Announcement from the McGannon Center's Director, Olivier …
[Read more...] about McGannon Center Book Prize | Ghost Work Announced 2019 Winner
Announcement from the McGannon Center's Director, Olivier …
[Read more...] about McGannon Center Book Prize | Ghost Work Announced 2019 Winner
“A walk with Mary Gray – Long version interview” Mary L. Gray in conversation with Digital Future Society, Digital Future Society, December 4th, 2019 …
[Read more...] about Digital Future Society | A walk with 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 …
"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 …
"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 …
[Read more...] about Financial Times | Ghost Work on Critics’ Best Books of 2019 List
"This November 20, SCI-Arc is proud to present the third installment of its Fear and Wonder symposium. Curated by Liam Young, SCI-Arc faculty and Coordinator of …
[Read more...] about SCI-Arc | Fear and Wonder 3: Futures of AI Symposium
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 …
[Read more...] about Tech Talks Daily Podcast | Are We Building a New Global Underclass?
Future Fluency is a podcast series that challenges conventional thinking about the links between innovation, culture, and the changing face of America, and what …
[Read more...] about Future Fluency Podcast | The Human Machine Partnership
“Data collectors: the hidden face of artificial intelligence.” By Gabriela Martinez, CTXT Revista Contexto November 6th, 2019 Read the full article on CTXT …
Watch Mary L. Gray’s presentation at the Institute for Advanced Study (IAS) Workshop on Social and Ethical Challenges in Machine Learning, Algorithmic Cruelty …