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 *********** **** ** government ********. ***** ** **** evidence, *** ********** ** that ****** ** ****** success **** ******* ********* for ******* *********** *** much **** ********** *** 'real ****' ****** ***********. Inside **** ****, ** share *** ****** ** that ***-**** ****, ******* out *** **** ******* passages *** **** **** reveals ***** ******'* ********, or **** *******, ** facial ***********.

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

Missing *****

*** **** ********, ***-******* image ** *** **** is **** ****** ****** OJ ******* ** **** person:

**** ** **** ** 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 ************.

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 **** ***** ******** ******** ***** ***, *** ** ******** trying ** ****** *** promote *** ****** **** the ********* ***** ****:

***** *** **** **** those ******, ** *** skeptical ** ***** ********. For ***, *** ********** County **** ***** * ~ **-****** ********** ****, and **** *** ********** with ****** ***** *******, they *** *** ***** to '****-****' (***** ****-**** means **** * ****** or ***).

********, ******* ***************** ***** ****** ** 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 ********* ***** * surveillance ******* *****, *** ACLU ******* **. ***** they *** ****** ******** and ** *** ********** how *** ********** *****, or ***** **** ***** them ******* *** ********* risks *** ****** ** the *******, **** ** the ********** ** *** from ***** **** ****** it ** **.

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

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

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

Comments (18)

**** ** *** ******** databases **** ******* ****** and ***'* **** *** school ******** ******* ** to ****!

*** **** ** *** 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 **** **** **** this **** ******. ************, some ************** **** ************* with *** **** ** check).

* ***** *** ******* that **** ****** ***'* ready *** **** ************, yet. *** **** ** overreacting, *** ***.

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

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

*** *************, ** *****'* use ****** ***********, ****** subscription-based *** ***-**** ********** databases. **** *****, **** ID ** *******, *** it ***** *** * database *****.

** **** **** **** ID **** ** ***** a ********* *******-***** **** the ***** **** **** ID.

**** ****** ********* ***** a ***** ****-** ***** is ******** *** ******* tracking. * ** ***.

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

*** ***** **** ***,*** images. **** ****** **** a *** ***, *** comparison, ***** *** *** the ****** ** ******* in * ***** (*.*., 2,628,000 ******* ** * month), ** **** * single ****** **** ******* 1 ***** ***** ** seconds ***** ******** ****.

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

***, ***$ ****** ***** to ** *** ******** images, ***** *$ *** regular ** **** *********** cloud ******* *** *.*$ for ** **** *********** processing (***** *$ ******).

** * *** ******* how **** ** ****** they ***** ***** *$ monthly ******. * ***'* think ****** ****** *** use *** ***** ***** except ********.

*** ***, ** ******* to ****** ****** *** need ** *******. ** we **** ** ******* every **** ****** ** would **** **$ *** camera *** ******** *** 2.6k *** ******* *** cloud *********** *******. **** is **** * ********** fees ** *********** *******.

*** ***** *** **** simple ************ ******** ***** be ** *** **** kind ** ******/**** ********* to ******** **** ********* processing. ****** ******* ** crowded ****** ***** **** to ** ********* **/* thought.

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

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

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

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

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

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

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