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

By: 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.

*** **** *** ****** a ****, **** * new ****** ****** ***** ** **** Law *********** ** ****** Dangerous *** **** *********** Technology, **********:

******* ** ********** ************, Rekognition *** ********, *****, *** ******* people ** **** **** and ********* ** ** 100 ****** ** * single *****. ** *** quickly **** *********** ** collects ******* ********* ********* tens ** ******** ** faces, ********* ** ******...

**** ***********, * ********** can *** ***** * system ** ******** *** identification *** ******** ** anyone.

**** ***********, *** **** requested *** ******** ***-***** ** *********** ** Amazon's *********** **** ** ********** entities. ***** ** **** evidence, *** ********** ** that ****** ** ****** success **** ******* ********* for ******* *********** *** much **** ********** *** 'real ****' ****** ***********. ****** this ****, ** ***** our ****** ** **** 147-page ****, ******* *** the **** ******* ******** and **** **** ******* about ******'* ********, ** lack *******, ** ****** recognition.

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

Missing *****

*** **** ********, ***-******* ***** in *** **** ** that ****** ****** ** Simpson ** **** ******:

**** ** **** ** example ** ********** ******, who ***** ** *** on *** ** ******'****************** *********** *******.

** *** *** * user ** *** **********, the **** ** ******** should ** **********. *** if *** *** *** ACLU, *** *** ****** to **** ** **** afraid ** *** ***** liberties ************ ** ***** mismatches, ******, **********, ****** officers *** *** **** man ** *** ** Simpson.

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

*** **** ********** ******, however, ** *** *********, clearest **** *** *** service, ** ** ******** explains *** ********:

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

****** *********** ******* **** photos ** *** ***** as **** ******* **** been ************ ********* *** years. *******, *** **** that ** ** ** inexpensive ** *** *** few ******* ******* *** month (*.*., '$* * month ** ****') ** disprutive economically.

Not ****-**** 

*** ***** ********** ****** makes *****, **** ******'* marketing *** *** ****'* fears, ** **** ***** searches '****** ******* ** less **** ** *******'. While **** ** ********* compared ** ***** **** manually, ** ** **** slow *** *** ********* and ***** ** ****-**** alerting.

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

********** ****** ******** **** they *** ** *** and *** ******** **** have ***** ****:

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

*** ********** ****** ******** explains *** ** ***** it ** *** ** the*********** ******* / ***:

**** ** *** * normal ****, ** *** employee ******** ** ********** did *********** ** **** and *** **** **** recognition *** ** *** own '**** ****':

**** ******* *** *** success **** **** ***** on *** ***** ****, video **** ******** *****:

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

**** ***** ** **** impressive ********** *** **** troubling *** ******* ** the ****'* ****** ***** Amazon's ***** ** *******, where *** **** ********:

*********** **** ************ ** now ********* ****** ******* in ****-****, ********* ** ******, ******** *** ******* to ****** *** “****** of ********” ** ******* rolls ** **** “******* all **** *** ****.”

*** ******* ** **** the **** ***** ** Amazon ******** ***** *** [link ** ****** *********], who ** ******** ****** to ****** *** ******* the ****** **** *** following ***** ****:

***** *** **** **** ***** claims, ** *** ********* or ***** ********. *** one, *** ********** ****** **** cites * ~ **-****** processing ****, *** **** our ********** **** ****** cloud *******, **** *** not ***** ** '****-****' (where ****-**** ***** **** a ****** ** ***).

********, ******* ***************** ***** ****** ** the ***:

*** *** *** ***** of ****** *******, ***** having ******* *********** ** Orlando *** ******* ********** any ** *** ****-**** or *** **** *** city **********.

****, *** *** *****, even ** *** *********, given *** ****** ** processing ******** *** *** certain ******** ******** **** would ***** ******** **** at *****, **** ** more **** **** *******.

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

**** *****, ** ***** the **** *** ****** the ****** ****** ********** these ******** ** *** government *** *** ********* risks ** **** **********. However, *** **** ***** more ******** **** *** trade *********, ****** *********** in *******. ******** ***** overstated ********* ***** * ************ company *****, *** **** accepts **. ***** **** are ****** ******** *** do *** ********** *** the ********** *****, ** maybe **** ***** **** magnify *** ********* ***** and ****** ** *** problem, **** ** *** technology ** *** **** where **** ****** ** to **.

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

*** ********** ****** *** case ** * **** good ******* ** * low-cost *** ** *** technology ** ******* **** a ****** ******* ** scanning *** ********. ** expect **** ** ******** to ******.

*******, *** ****-**** '*** over *** ****' *** of ****** *********** ** much **** ***********, ** these ********* **** **********. 

Comments (19)

**** ** *** ******** ********* **** booking ****** *** ***'* have *** ****** ******** cameras ** ** ****!

*** **** ** *** are ******* ** *** but * ***** **** application ***** ** ***********. 

**************:

- *** ***** **** someone ** *** *** offender ******** ** ** a ***** ******? *****. The ***** ** **, the **** ****** *** ratio ** ***** ********* is ******** (*.*., ****** matched ** *** ********* who *** *** ** actual *** *********).

- *** ***** ** getting **** ******* **** the ******. *** **** to ******* *** ***** stream *** *****, *** the *****, **** **** to ******, **** *** Amazon ** ****** * match. ** **** ****, the ****** *** **** moved ***** ***.

- **** *** **** an ******** *** ** going ** ****** **** of ***** ****** (***** returns ** *** ******* of ** * *****).

*** ******* ** ** don't **** *** ***** a *** ******** ****** a ******. (**** ****: we *** ********** * visitor ********** ****** **** will ** *** *****, but ********** *****'* **** very ******* ** * don't **** **** **** **** will ******. ************, **** administrators **** ************* **** any **** ** *****). 

* ***** *** ******* that this ****** ***'* ***** *** most ************, ***. *** ACLU ** ************, *** now.   

******* - **** ******* management ****** ** ********* facial *********** / ******** / *** ******** ***** in ***** ********? * could *** *** *****, also ***** *** *** taking * ******* ** the ****** ***** ** front ** ***, *** quality ***** ** ******.

*** ******* ********** ****** I'm **** ******** **** ******** **** ********. 

*** *************, ** *****'* use ****** ***********, ****** ************-***** and ***-**** ********** *********. Upon *****, **** ** is *******, *** ** looks *** * ******** match.

** **** **** **** ** info to ***** * ********* sticker-badge **** *** ***** from **** **.

**** ****** ********* ***** * paper ****-** ***** ** adequate *** ******* ********. I ** ***.

********* **** *** * *** offender ********* ******* ***** searches *** ** ***** databases ***** ** **. But ** *****'* **** facial ***********, ******.

* *** ***** ***, I *** ** ************** at * ******* ****** with *** **** ***** and **** ** *** sex ******** ********.  ** used *** ******'* **** and *** ** ***** against *** ******** (** were ******** ******'* ******** to ******** ********).  * actually *** * *** on *** * - just * *********** **** a ********** *** *** same **** *** *** as ******* ** *** registry, *** *** ******* not *** **** ******.

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

**** * *********** **** a ********** *** *** same **** *** *** as ******* ** *** registry

**** * ********* *** that ******, *** ****** that ******** *** *** thought **** ** ***** happen ********* *** ***. 

***** *** **** * comprehensive ******** ****. **** helpful, ****** **** ** the **** ****. 

**** $* **** ** a ******* ****** - seems **** ******* ****** obtained **** ***** ** using *** ******** (***** is ***.**$ ******) *** regular ****** (******) *** Recognition *******. 

 

*****, ******! *** $* claim ***** **** **********, not *******. * ** not **** **** ******* did *****.

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

*** ***** **** ***,*** ******. That sounds **** * *** but, *** **********, ***** are *** *** ****** of ******* ** * month (*.*., *,***,*** ******* in * *****), ** even * ****** ****** only ******* * ***** every ** ******* ***** generate ****.

** ****, *** *** right.

***, ***$ ****** ***** to ** *** ******** ******, while *$ *** ******* US **** *********** ***** storage *** *.*$ *** US **** *********** ********** (magic *$ ******).

** * *** ******* how **** ** ****** **** wrote ***** *$ ******* charge. * ***'* ***** public ****** *** *** *** other ***** ****** ********. 

*** ***, ** ******* ** amount ****** *** **** to *******. ** ** want **  ******* ***** **** ****** it would **** **$ *** camera *** ******** *** *.** *** regular *** ***** *********** service. **** ** **** a ********** **** ** recognition *******.

*** ***** *** **** ****** optimization ******** ***** ** to *** **** **** of ******/**** ********* ** ******** face ********* **********. ****** cameras ** ******* ****** ***** need to ** ********* **/* thought.

* ***'* **** ***** the ********** ***** ******* but * ***** *** $332.95 ** *** *** time ****** *** ********* the ******** ******* ********.

***, *** *** ***** John.

***$ ****** ** *** storage *** ******** ***** its ***** ** *.*$ per **** ***** *** comparison ** *.**$ *** 1000 ****** *** ******* cloud ******.

***** ** ** ******** this ** ** ** our ******. ** ********** will ****** *** ****** so ****** *** *** guy **** *** ** able ** ** ********.

**** ******** *** /******* hat.

* **** ***'* **** for ** ***** *****!

******:******* ******* ****** *********** program, ******* ** ****** of ******** *** *********** | ******* ****** *********, ****** ******** ********* issues ******* ***** ** AWS:

"** *****'* **** *********** a ****** *****. **'** talking ***** **** **** a **** *****," **** Akhtarkhavari, *******'* ***** *********** officer, **** ** ** interview **** ******* ****** ****** *** ****** *****. "** have ***, *****, *********** a ******** ******." 

*************, *******'* ********** **** who *********** *** *****, said ********* ****** ********* city ***** **** ******* the ******** ******** ** conjunction **** *** **** than *** ****** — and ********* **** ****** wouldn't **** ** ********. "**'** never ****** ** *** point ** **** ******," she ****. 

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