CIT computer scientist Milan Cvitkovic conducted 46 in-depth interviews with "scientists, engineers, and CEOs" and collated their machine learning research needs into an aptly named paper entitled "Some Requests for Machine Learning Research from the East African Tech Scene," which presents an illuminating look into the gaps in the current practice of machine learning, itself an example of how rich-world priorities shape our ability to understand, compute and predict the world.
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danah boyd (previously) writes enthusiastically about Virginia Eubanks's forthcoming book, Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, which she calls "the best ethnography I’ve read in years," "on par with Barbara Ehrenreich’s 'Nickel and Dimed' or Matthew Desmond’s 'Evicted.'"
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Tech anthropologist Genevieve Bell (previously) delivered one of the keynotes at last week's O'Reilly AI conference in New York City, describing how you could do anthropology fieldwork on an AI -- specifically, how you could do an ethnographic interview with one. Read the rest
In Workarounds to Computer Access in
Healthcare Organizations: You Want My
Password or a Dead Patient?, security researchers from Penn, Dartmouth and USC conducted an excellent piece of ethnographic research on health workers, shadowing them as they moved through their work environments, blithely ignoring, circumventing and sabotaging the information security measures imposed by their IT departments, because in so doing, they were saving lives. Read the rest
Sonia Livingstone, an LSE social psychology prof, gives us a peek into the results from The Class, a year-long, deep research project into the digital lives and habits of a class of 13 year olds at an ordinary school. Read the rest