In science fiction, facial recognition technology is a hallmark of a dystopian society. The truth of how it was created, and how it’s used today, is just as freaky.
In a new study, researchers conduct a historical survey of over 100 data sets used to train facial recognition systems compiled over the last 43 years. The broadest revelation is that, as the need for more data (i.e. photos) increased, researchers stopped bothering to ask for the consent of the people in the photos they used as data.
Researchers Deborah Raji of Mozilla and Genevieve Fried of AI Now published the study on Cornell University’s free distribution service, arXiv.org. The MIT Technology Review published its analysis of the paper Friday, describing it as “the largest ever study of facial-recognition data” that “shows how much the rise of deep learning has fueled a loss of privacy.” Read more…
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