Discussion

• @_karenhao Karen Hao on x

  We chose this headline as comedic relief to a frankly horrifying story. @rajiinio & Genevieve Fried looked at 133 face recognition datasets over 43 years & found that researchers gradually abandoned asking for consent to amass ever more data. https://www.technologyreview.com/ ...

• @_katiesaurus_ @_katiesaurus_ on x

  “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. That in itself is a basis of harm. And then we're hoarding all this information that you can't control” https://twi…

• @bohyunkim Bohyun Kim on x

  It is inded a chilling story; can be summed up as: *Deep learning experts build data sets for facial recognition by abandoning asking for consent.* https://twitter.com/...

• @forteller @forteller on x

  So when big corporations accuses you of copyright infringement you can get fined, lose your internet access, lose all income from your videos, be blocked from the platforms where you make your living... But when big corps infringes on your copyright the war on piracy is forgotten…

• @hypervisible @hypervisible on x

  Really important work showing how so much of the tech and research is built on extraction and a lack of consent. https://twitter.com/...

• @histoftech Mar Hicks on x

  This all day. Extraction and leveraging of existing infrastructure, abusing the public good, and privatization of more and more services that we need in order to live and have a functioning government: https://twitter.com/...

• @ultrasaurus @ultrasaurus on x

  “we're hoarding all this information that you can't control to build something that likely will function in ways you can't even predict.” https://twitter.com/...

• @frankpasquale Frank Pasquale on x

  By 2007, researchers began downloading face “images directly from Google, Flickr, and Yahoo without concern for consent.” https://www.technologyreview.com/ ... What ⁦@julie17usc⁩ calls the “biopolitical public domain.”

• @rajiinio Deb Raji on x

  In this article, @_KarenHao summarizes our paper so concisely. Facial recognition is just the latest (& most dangerous) AI application corrupted by an all-consuming data requirement for deep learning, which causes an inevitable loss of privacy & control. https://www.technologyrev…

• @proftomcrick Prof. Tom Crick on x

  This is how we lost control of our faces https://www.technologyreview.com/ ... <— The largest ever study of facial-recognition data shows how much the rise of deep learning has fuelled a loss of privacy

• @techreview @techreview on x

  The latest generation of deep-learning-based facial recognition has completely disrupted our norms of consent. https://www.technologyreview.com/ ... https://twitter.com/...

• @fabiochiusi Fabio Chiusi on x

  The largest ever study of facial-recognition data shows how much the rise of deep learning has fueled a loss of privacy. This is how we lost control of our faces https://www.technologyreview.com/ ... https://twitter.com/...

• @iethics @iethics on x

  “Then, in 2014, #Facebook used its user photos to train a #deeplearning model called DeepFace. While the company never released the #data set, the system's superhuman performance elevated deep learning to the de facto method for analyzing faces”: https://www.technologyreview.com/…

• @iethics @iethics on x

  “The researchers identified four major eras of #facialrecognition, each driven by an increasing desire to improve the #technology”: https://www.technologyreview.com/ ... #ethics #data #privacy #research #business #AI #DeepLearning