Amazon's "Dangerous New Face Recognition Technology" Says ACLU

Author: John Honovich, Published on May 23, 2018

The ACLU has caused a stir, with a new report Amazon Teams Up With Law Enforcement to Deploy Dangerous New Face Recognition Technology, explaining:

Powered by artificial intelligence, Rekognition can identify, track, and analyze people in real time and recognize up to 100 people in a single image. It can quickly scan information it collects against databases featuring tens of millions of faces, according to Amazon...

With Rekognition, a government can now build a system to automate the identification and tracking of anyone.

Most importantly, the ACLU requested and received 147-pages of information on Amazon's interaction with US government entities. Based on that evidence, our conclusion is that Amazon is having success with greater potential for mugshot comparisons but much more challenges for 'real time' facial recognition. Inside this note, we share our review of that 147-page file, calling out the most notable passages and what that reveals about Amazon's progress, or lack thereof, in facial recognition.

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**** ***********, * ********** *** *** ***** * ****** ** automate *** ************** *** ******** ** ******.

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[***************]

Missing *****

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Best *** **** *********

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Cheap *** ******* ***** ***********

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Not ****-****

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Problem ***** ******

********** ****** ******** **** **** *** ** *** *** *** problems **** **** ***** ****:

Built ** *** ** ******

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**** ** *** * ****** ****, ** *** ******** ******** he ********** *** *********** ** **** *** *** **** **** recognition *** ** *** *** '**** ****':

**** ******* *** *** ******* **** **** ***** ** *** local ****, ***** **** ******** *****:

Orlando ****-**** ****** ************ *********

**** ***** ** **** ********** ********** *** **** ********* *** privacy ** *** ****'* ****** ***** ******'* ***** ** *******, where *** **** ********:

*********** **** ************ ** *** ********* ****** ******* ** ****-****,********* ** ******, ******** *** ******* ** ****** *** “****** ** ********” as ******* ***** ** **** “******* *** **** *** ****.”

*** ******* ** **** *** **** ***** ******** ******** ***** ***, *** ** ******** ****** ** ****** *** ******* *** system **** *** ********* ***** ****:

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********, ******* ***************** ***** ****** ** *** ***:

*** *** *** ***** ** ****** *******, ***** ****** ******* information ** ******* *** ******* ********** *** ** *** ****-**** or *** **** *** **** **********.

****, *** *** *****, **** ** *** *********, ***** *** delays ** ********** ******** *** *** ******* ******** ******** **** would ***** ******** **** ** *****, **** ** **** **** than *******.

ACLU ***** ** *********** **** *** ******** ** ****** ******

**** *****, ** ***** *** **** *** ****** *** ****** better ********** ***** ******** ** *** ********** *** *** ********* risks ** **** **********. *******, *** **** ***** **** ******** than *** ***** *********, ****** *********** ** *******. ******** ***** overstated ********* ***** * ************ ******* *****, *** **** ******* it. ***** **** *** ****** ******** *** ** *** ********** how *** ********** *****, ** ***** **** ***** **** ******* the ********* ***** *** ****** ** *** *******, **** ** the ********** ** *** **** ***** **** ****** ** ** be.

Outlook ***** - ********* ** ********

*** ********** ****** *** **** ** * **** **** ******* of * ***-**** *** ** *** ********** ** ******* **** a ****** ******* ** ******** *** ********. ** ****** **** to ******** ** ******.

*******, *** ****-**** '*** **** *** ****' *** ** ****** Rekognition ** **** **** ***********, ** ***** ********* **** **********.

Comments (13)

**** ** *** ******** ********* **** ******* ****** *** ***'* have *** ****** ******** ******* ** ** ****!

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- *** ***** ** ******* **** ******* **** *** ******. You **** ** ******* *** ***** ****** *** *****, *** the *****, **** **** ** ******, **** *** ****** ** return * *****. ** **** ****, *** ****** *** **** moved ***** ***.

- **** *** **** ** ******** *** ** ***** ** review **** ** ***** ****** (***** ******* ** *** ******* of ** * *****).

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* ***** *** ******* **** **** ****** ***'* ***** *** most ************, ***. *** **** ** ************, *** ***.

******* - **** ******* ********** ****** ** ********* ****** *********** / ******** / *** ******** ***** ** ***** ********? * could *** *** *****, **** ***** *** *** ****** * picture ** *** ****** ***** ** ***** ** ***, *** quality ***** ** ******.

*** ******* ********** ****** *'* **** ******** **** ******** **** ********.

*** *************, ** *****'* *** ****** ***********, ****** ************-***** *** end-user ********** *********. **** *****, **** ** ** *******, *** it ***** *** * ******** *****.

** **** **** **** ** **** ** ***** * ********* sticker-badge **** *** ***** **** **** **.

**** ****** ********* ***** * ***** ****-** ***** ** ******** for ******* ********. * ** ***.

************* *** * *** ******** ********* ******* ***** ******** *** 50 ***** ********* ***** ** **. *** ** *****'* **** facial ***********, ******.

* *** ***** ***, * *** ** ************** ** * private ****** **** *** **** ***** *** **** ** *** sex ******** ********. ** **** *** ******'* **** *** *** to ***** ******* *** ******** (** **** ******** ******'* ******** to ******** ********). * ******** *** * *** ** *** 1 - **** * *********** **** * ********** *** *** same **** *** *** ** ******* ** *** ********, *** was ******* *** *** **** ******.

****, ******!

**** * *********** **** * ********** *** *** **** **** and *** ** ******* ** *** ********

**** * ********* *** **** ******, *** ****** **** ******** but *** ******* **** ** ***** ****** ********* *** ***.

***** *** **** * ************* ******** ****. **** *******, ****** keep ** *** **** ****.

**** $* **** ** * ******* ****** - ***** **** Orlando ****** ******** **** ***** ** ***** *** ******** (***** is ***.**$ ******) *** ******* ****** (******) *** *********** *******.

*****, ******! *** $* ***** ***** **** **********, *** *******. I ** *** **** **** ******* *** *****.

*******, *** ***** ******* ** *** $***.** ******,**** **** **:

*** ***** **** ***,*** ******. **** ****** **** * *** but, *** **********, ***** *** *** *** ****** ** ******* in * ***** (*.*., *,***,*** ******* ** * *****), ** even * ****** ****** **** ******* * ***** ***** ** seconds ***** ******** ****.

** ****, *** *** *****.

***, ***$ ****** ***** ** ** *** ******** ******, ***** 3$ *** ******* ** **** *********** ***** ******* *** *.*$ for ** **** *********** ********** (***** *$ ******).

** * *** ******* *** **** ** ****** **** ***** about *$ ******* ******. * ***'* ***** ****** ****** *** use *** ***** ***** ****** ********.

*** ***, ** ******* ** ****** ****** *** **** ** process. ** ** **** ** ******* ***** **** ****** ** would **** **$ *** ****** *** ******** *** *.** *** regular *** ***** *********** *******. **** ** **** * ********** fees ** *********** *******.

*** ***** *** **** ****** ************ ******** ***** ** ** use **** **** ** ******/**** ********* ** ******** **** ********* processing. ****** ******* ** ******* ****** ***** **** ** ** processed **/* *******.

* ***'* **** ***** *** ********** ***** ******* *** * think *** $***.** ** *** *** **** ****** *** ********* the ******** ******* ********.

***, *** *** ***** ****.

***$ ****** ** *** ******* *** ******** ***** *** ***** is *.*$ *** **** ***** *** ********** ** *.**$ *** 1000 ****** *** ******* ***** ******.

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