Facial-recognition study highlights privacy impact

08/02/2021 | MIT Technology Review

An MIT research of facial-recognition data examines its impact on privacy. The study, which reviewed 130 facial-recognition data sets created over 43 years, found researchers gradually stopped asking for consent, which led to "messier data sets" and personal photos incorporated into surveillance systems. "It's so much more dangerous," said Co-author and Mozilla Fellow Deborah Raji. "The data requirement forces you to collect incredibly sensitive information about, at minimum, tens of thousands of people. It forces you to violate their privacy."  

Read Full Story
Facial recognition dataset, photos of people

What is this page?

You are reading a summary article on the Privacy Newsfeed, a free resource for DPOs and other professionals with privacy or data protection responsibilities helping them stay informed of industry news all in one place. The information here is a brief snippet relating to a single piece of original content or several articles about a common topic or thread. The main contributor is listed in the top left-hand corner, just beneath the article title.

The Privacy Newsfeed monitors over 300 global publications, of which more than 4,350 summary articles have been posted to the online archive dating back to the beginning of 2020. A weekly roundup is available by email every Friday.

Freevacy has been shortlisted in the Best Educator category.
The PICCASO Privacy Awards recognise the people making an outstanding contribution to this dynamic and fast-growing sector.