It’s really creepy.
In a moment of frustration with the speed of technology, Jeff Goldblum’s character in “Jurassic Park” challenged the chutzpah of anyone who would dare bring dinosaurs back from extinction. “You stood on the shoulders of geniuses to accomplish something as fast as you could,” Dr. Ian Malcolm exclaims, “and before you even knew what you had, you patented it, and packaged it, and slapped it on a plastic lunchbox!”
As smartphone technology races on, it’s easy to forget that no one is in charge of where all of this is heading. A creepy example of this escalation in technology is Apple’s updated Photos app that recognizes thousands of objects, scenes, and facial expressions. While the technology is pretty amazing, it has one odd feature: the app creates a folder of brasserie pictures.
This bizarre bug for most, or feature for some, first caught the public’s attention after a tweet from Twitter user ellieeewbu last month:
ATTENTION ALL GIRLS ALL GIRLS!!! Go to your photos and type in the ‘Brassiere’ why are apple saving these and made it a folder!!?!!?— ell (@ellieeewbu) October 30, 2017\n
Soon after, model and co-host of Spike TV’s “Lip Sync Battle” Chrissy Teigen also did the “brassiere” test and sent the results to her Twitter audience of over 8 million followers.
It's true. If u type in "brassiere" in the search of your iphotos, it has a category for every boob or cleavage pic you've ever taken. Why. pic.twitter.com/KWWmJoRneJ— christine teigen (@chrissyteigen) October 31, 2017\n
The app is even more disturbing because there is no male equivalent of the “brassiere” search. When the app first launched in June 2016, it supported detecting 4,432 different scenes and objects, but none of them are male undergarments. The terms “underwear,” “undershirt,” “briefs,” “boxers,” “shorts,” and “tighty whities” do not appear in the keyword list.
While some iPhone users feared their intimate photos were being shared via the device, Apple stressed at the app’s launch that all object detection is done completely locally on the device.