UK/US Media Report on Facial Recognition Problems

**** ******** ****** ******* **** ****** the **** ***** ** *** **** news ******* *** *** ************* **** facial *********** ********** ********* *******.

Gender/Racial ****

** ** ***** ******* ************ ******** "** ** ******?" (*** *****) *** *** ***** the ******** **** ********** *** ******* on ** "* *** **** ** the *******," **** *** ************** ***************** *** *** ****** *** ***** datasets *** ********* ******* **** *** Internet *** ****** *****.

** ******** *** ****** ************, ******** ******** **************** ********* * **** ** ********* ** "Western *****" ** * ************ ****** behind ****** ***********’* ****-****-***** *********** **** people ** *****.

**. **** ** * ****** ** the*********** ******* ******, ********** ********* ** *************** **** ****, ***** *** ******* by ******-/***-******** ******** ************ **********, *********************** **. ****'* ******** ** *** BBC, ******* ****:

** ********** ** **** ****** *********** revealeda *********** *** ****** **** ********* ****** ************** ********** ** ******* ** ***** (9 - 20%) and darker skin vs lighter skin (10 - 21%). Lighter ***** **** ** ******* *** ****-********** *****, *** ****** ******* **** *** ***** ********** *****. 37% - 83% of classification errors resulted from the misclassification of darker females. Lighter males contributed the least to overall classification error (.4% - 3%). [emphasis added]

**. ****’* ********* *** **. **********'* research *** **** ********* ** ********* **** ******* *** **’********* ********* ** ********* *** **********(****), ***** *****:

***** *** ****** ******* *********** ******,false ******** ***** *** ******* ** **** *** **** ******* *** **** ***** ******, *** ****** ** ******* ******** ***********. This effect is generally large, with a factor of 100 more false positives between countries. However, with * ****** ** ********** ********* ** ***** **** ****** ** ********, **** *** ***** ******** ***** ** **** ***** *****. With domestic law enforcement images, the highest false positives are in American Indians, with elevated rates in African American and Asian populations; the relative ordering depends on sex and varies with algorithm. [emphasis added]

*** ******** ** *** **** ***** were ******** ********** ** ************ ******* ** ******* ******** "** ******: ****** *********** ********** — and *** **** ** ** ***** it?," *******, *** *******, **** ***** and ****** (*.*. ****** ********/******** ******) women *** ***** ****** ** ** correctly ********** ** ** ********:

Facial *********** *** ** ** ******

*********** ******, * ****** ********* ************ ********** *** ******'******* ** ******* & **********,********** *********** "****** *********** *** [*******] **** involved ** ******** ** ********* ** cases" **********, ****** **** "*** ****** who's ******* ****** ***** ***** *** that ** [****** ***********] *** ****:"

*** ** ***** ***** ******* ****** Parks *** ****** ********, ******* ******** men *** **** *********** ******** ***** on ****** *********** ***** ********* *** profiled ********** *******, ************. **** **. ***** *** Mr. ******** ***** **** ** ******* for ****** **** ******* ********* ***** on ***** ********* ** ******** ******** which ** **** *** ** *** issuance ** ****** ******** ********* ******* follow-up *************.

********* ****** ********** ****, **** **** ******* ***** to ** ********* ** *** *********** applications ** ****** *********** ********** *** to *** ********* *************:

*** ****** *** ***** ** **** up ** ****** ******* *** ** innocent ****** ** ***** ** ******, he’s ***** ** ***** ****, *** the ****** *** ***** ** **** him.

Facial *********** ******** ****** **** ******** ********, **** ******* ***** **** ****

*** ********** **** *************** ******, ****** ************ *** ********* ** ***** *** UK ******** ****** *** ******* ******'* *******. ** ********* ***** ** *** *** *******, Ms. ****** ********* *** *** **** Office’s ******* ********** ******** *** ******** renewal ******, ******* ***** * ******* of ******* *** ********* *******, *** to ** ********* ** ****** *** eyes, *****, *** *** ******* ** her ****:

**** **** **********, ****** *********** ******** has **** ******** ******* ***** **** during *** ******* *********** ********. ********* to**** ******** ************** ******* ***** ** ***** ************ ***** ** ******** ***** *****:

******-*** ** *** ******* [** *** Independent ******* ***** ** ***** *******] have **** ********* ****** ******* ************, *** **** ** ******* a ****** *********** ******** ****** **** Uber **** ****. ** **** ******, 12 ** **** ********[*****, *****, *** ******** ******].

'************' ****** ** **** **** **** believes ** ** ******** *********** ***** the **** ******* *** ******** ********, which ** * ********* ** *** terms.

Lack ** ***** *********

** ****************** *** *** ** *********,** **************** **** * ***** ** *** report *** "*** **** ** ****-*********** national ********** ****** *** **********'* [****** recognition's] ***."

**** "**** ** ****-*********** ******** **********" led ****** ** *** **** ** initiate * ********** ** ****** *** of ******************** *********** ********, ******* ********** ***************** *** ********* ****** *** ****** ban *** "** '**** ******** ****** time ** ********* *********** *****' ********* the **********'* ******* ***." **** ********** ************* ** *** ******* ** ************ extend *** ********** ** ****** *** of ***********, ******* ********** ***************** "** ******* **** **** **** passed *****" *** *** **** ****** decision.

***** **** ************* *** ************ ***** ******'* ******* for ****** ************ ** ****** *********** as **** ** ************* ** ** ****** ** *** their ***********’ *** ** ****** *********** software, ****** *********** ********* ** ** used ********** *** *******, ********* ** Detroit (***** ****** ******** *** ** the ******* ******** *** ******** **** *******), ** ********* **** ********* ******* ****** ********** *****. ************, ** *** **, ************ **************** ****** *********** ** **** ** London’s************ ********* **** *** ** ********** *** argued ******* ******* ****** ***********, ****** the "**** ** ***** [***] ************* capability" ** *********.

** ***** ** **** *********** ********* the ******** ** ****** ***********, ***** is ****** ****-******** ******** ********* *** efficacy ******* ** ***** **********. ** a ***** *************, **.**** ****** ******* ********** ** *** ******** ****:

********** **** **** *** **** **** on, ******* ***'** ***- ** ****-****** recognition, * *****we **** ***'* **** ****** ********** ******** ** *** ***** *** ** ***** ***** ** ******** **** ******* **** *** ***** ***. So, my hope would be that the research knowledge improves around this and that maybe cities who have moved to ban it can re-open a dialogue just to confirm that they've come down on the right side of this. [emphasis added]

Facial *********** *** ** ******* ********

******* *** **** ** ********** ****** the *** ** ****** ***********, *** private ******, ** ******* ** ***** in *** **** ** *** ******* Uber **** *******, ** ************ ***** facial *********** **********.

** ******** ** **** **** *** last *** ******, *************, ***********, *** industry ******** ** **** ****** *** especially ** ****** **** ********* ******* sector *** ** ****** *********** ** malls, ***** ******** ************* ****, *** example, **** ****** *********** ** * way ** **** ********* ********* *** customers ** **** ** ** * way ** **** ****** ** ******** centers ******* ******** *** ****** *********** on **********, **** ** ***** *********** and **********.

**** **** ************ ****************** ******** ************* **** ** *** *****, ****** that ***** **** **** **% ** US ****** ***** *** ****** **** facial ***********, ***** ***** **** ***** 40% *** ***-*** ***********, ******* ****** entities.

**** **** **** *** *** ****** lockdown., ********** ********* ******** **** ********, *** ******-***** publication ******** ************ **** ** ******'*********** ******* *** ******* ** ****** such ** ****** ***********'* ****** *********** with ******-******* *****, *** ********** ** human ****** ** ********, *** ******* of **** ********* ** ******** *** employer-owned ********* *******, *** ****** ** government ************ **** ********** ********* ****** the *********** ********, *** *** ******* public's **** ** ********* *******:

Importance ** ****** *********

** ******** ** * ***** *********, journalists *** ******* ***** **** **** public ********* ** ****** ********* *** use *** ***** ** ****** ***********. For *******, ** *** ******,** ************** ** *** **** **** ***** is ** *********** ** *** ** for ****** ** ****** ** ******** if ****** *********** *** **** ** his/her ******.

** ** ***** ******* ******** "**********’ **** ****** **** **** ****** them ********** ** **** *****," ************ ********* ********* *** ************* ** **** collected ******* ****** ***********-******* *******, ****** that *** **** ******** **** **** have ******** **** *** ******* **********, effectively ************ ******** **** ********** ** Brazil's ****** **********. ***** ****** **** have * ******** ******* **** ********** law ***** ** ****** ***** ** *****çã* ** ***** Pessoais, ** ****, ***** ******** ********** around *** *** ** ****** ***********, Brazilian *** ************* ********** ****** ****** *** * ******* lack ** ********* ** ******** ** the ***’* *************. ******* ***** **** as ***** *********** ** ****** **** discussed ** ****** ** **. **** in ********* *********** ******* *** ****** ** ************* Affairs:

****** *********** ** ********** ******* **** it *****'* ****, **** ** ************* someone, **** ** * ****** ** their ****, **** ***** ** *************, falsely *******, ******* ********, *** **'* also * **** ****** **** ** does ****,there's ***** **** ******* ***** **** *** ******** ** ********** ******** ** ******** ** ********* **** *** ******* ** ** * *** **** *****'* *********** ****** ******* *** ******* ******** *********. [emphasis added]

The ******** ** *** ****** *****

* *** ******* **** *** ******* use ** ****** *********** ** * perception ** ************* ****** *** **********, as **********'* **. ****** ****** *******:

******* **'* * *******, ******* **'* math **** **** *** **** *********** match ** ***** *******, **'** ****** it *** **** ********.We're ******, "**'* ****, *********, ** **** ** *****." [emphasis added]

**. ****** **** ** ** ***** that **** ********** *** "****" ***** others *** "********." *** ***-*****, **** variation ** *** ******* ** ********* facial *********** ******** *** ** ********* to ********, **** ******** ************* ***** responsibility *** *************** ******** **** *** in **** ***** ****** ** **********, as ******* *** ** **. *****, the ****** *** *** ****** ** renew *** ** ******** ******:

**'* ******** ***** *********** ** ******** companies **** *** ******* *** ******** that ** *** ***** *** *** mass ******.

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

**'* *** ********** **** ** *** real *******, **'* *** ****** *** use ** **** ***** *****.

**** ********* *** ******** ** *** BBC:

****-********* ********* *******’* ** **** ** machines *****.

Facial *********** ** **** ** ****

**** *** ******** ******** ******-******* ****** recognition ********************************* **-***************'*$** ******* *** ************* ***** ** ********** ** *** fact ****, ******* ****** ***** ******** in *** ** *** **, ****** recognition ** **** ** ****.

** *********** ************ *****'* ****** *****, ********* ******* ************* ******************* *** **** *** "****** **********" to ******* **** *** ****** ** favor ** ****** *********** *********, ****** how **** *** **** **** ***** and ****** ********* *******' ********:

[*]**** ********** **** ** **** ********* by [********* *************** *****] ****** **** ****** ******** managers ** ******** ******* ***** *** wearing **** *****, *********** **** ****** distances *** ******** ************ ** ****** spaces, **** ** ******* ******* *********, instead ** ******* **** ******** ** the ****** ** ******, *** **** put ********** ** **** ** *********.

***** ******* ****** *********** ** *** way ** ***** **** ** ****** recognition **********, ******* ******** ** ** simply ******* ** ** **** ** performs ****** **** ****** ** *****. For *******, *** ************* *****-********* ****** *********** ******** **** better **** **** ***** ***** **** Western-developed ********:

[*]*** ********** ********* ** ***** ******* much ******* *** [***** ***** ****] on *** **** ***** ********** … These ********** *** **** ******, *****, Hik ******, *****, *-**********, **** *** SHU (******** ********** **** *******).