European Parliament Calls for Sweeping AI Curbs, Police Facial Recognition Ban

European **********

*********** ***************** * ***-******* **********, "********** ************ ** ******** law *** *** *** by *** ****** *** judicial *********** ** ******** matters" ** ******* *, 2021.

*** ******** **********, *** of *** **'* ***** legislative ******, **** ** Strasbourg, ******, *** ********, Belgium. ** ** ********* of *** **** (******* of *** ******** **********) from *** **'* ** member ******.

****** *** ** ******** or ******** *********** ** Canada, *** **, *** the **'* ****** ******, the ******** ********** **** not **** *** ********* to ******* *** ****, thus **** *****'* ** Resolution ** ***-*******.

******** ** ** **** a **************, *** ********** is **** ** ** indicator ** *** **** will ********** **** ** the **'* ****************** ************ ***(** ***), ********* ** reporting *************************.

October **** ** **********

*** ******** **********'* **-**** AI ********** ******** ** 36 ******. *****, ** summarize *** ****'* **** important ***************/**********.

Ban ****** *** ** ******* ****** *********** *********

***** ** ** *** AI ********** "***** *** a *** ** *** use ** ******* ****** recognition ********* ** *** enforcement," ** ***** *****:

Ban ** ****** *** ** **** ********* **** ********** ** ******

***** ** ********* ***** for "* *** ** any ********** ** ********* data, ********* ****** ******, for *** *********** ******** that ***** ** **** surveillance ** ******** ********** spaces":

*********, ***** ** ***** "for *** ********* ***********" in ****** ****** ** the ********** ** ******** forms ** ********* ****, including ***** *** **** recognition *** *** ********* facial ***********:

Ban ** ****** *******

***** ** ***** "*** a *** ** **-******* mass ***** ******* ** individuals":

***** ** ****-***** *** its****** ****** ******, ***** ** ******* linked ** *** ***'* mass ******* ************. ***** similar ******* ****** ******** globally, ********* *** ****** out ********* ******** *** **** ** Shenzhen-based ***. *********'* ******** Card *** *** ******* to ***** *** ********** government ** ***** ******* facets ** ***********' *****, including ******* ******* *** social ***** ********, ********* to**** ********* **** *******:

*** ********, ********* ** employees ** *** **** system *** *********** ** user **** ******** ** Reuters, ****** **** ******* as *********, ****** ***********, employment *** ******, ******** owned, ******* *******, ***** benefits ********, ******** ** social *****, ********** ** a ********* *****, *** whether * ****** *****.

Moratorium ** ****** ****** *********** ***********

***** ** ***** *** an ********** "********** ** the ********** ** ****** recognition ******* *** *** enforcement ********," **** ******* caveats, ***** **** **** as *** ******** ********** deems *** ********** "***** fundamental ****** *********":

Voices ********** ** ********** ********

***** *** ******** ********** stops ***** ** ******* for ** ******** ***, MEPs ***** ***** ********** to "*** *** ** AI ** *** *********** authorities ** **** ********** predictions ** *********** ** groups ** *** ***** of ********** **** *** past ********":

**************** **** **** ******** from *** ****, **, and *********, ** ** the **, ****** **** US ****** ******** * European ******* ** ********** policing's "**** ** *************" "and ********* *******."

Recommends *** ** ****-****** ** *******

**** ***** *** ******* "closed" *** "***********" ** systems, ************ ** ***** 17 "*** *** ** open-source ******** ***** ********":

***** *** ** *** AI **********'* *************** *** non-binding, **** ********** **************, if *******, ***** ********* impact *** ** ********** of ** ********* ** obliging **** ** ******** the ****** ** ***** source **** *** **** their ******* ********** ** independent ********.

Calls *** ******** **** ** **

***** * ****** "**** biases *** ** ******** in ********** ********" *** that "****** *** ******** to ********* ********":

**** ** * ********* theme ** *** ** Resolution, **** **** ********* points—8, *, **, *** 23—dedicated ** *** ***** in **** ****.

********* *** ******** ** racial *** ****** **** in ****** *********** ** the **/** *******, *** ******** ********** goes ******* ** *** AI **********, ******** **** "algorithmically ****** ************** ************" not **** ****************** *********** "racialized ******" *** *****, but **** ****** "***** people, ********, *** *** elderly" ** ******** ************* groups:

Humans **** **** ***** ********

**** ***** "**** ** judicial *** *** *********** contexts, *** ******** ****** legal ** ******* ****** always ***** ** ** taken ** * *****":

**** *****, ** *******, would ***** ** ******** and ***** ****** ** avoid ******** ******** ** situations **** ** ***** of ****** ***** *** Robert ******** ** *** US. ******. ***** *** Williams **********-******** *** *** **** erroneously ******** ***** ** facial *********** ***** ************ ******** ** *** and** *******, ************. **** ***** time ** ******* *** crimes **** ******* ********* based ** ***** ********* by ******** ********.

************, ** ***** **, the ******** ********** **** that ****** ****** ** informed **** ** ** used ** ****** ** investigations. *******, **** ***** was ******** ** *** and ** ******* ** a ******* ** *** US, *.*., **** ********* do *** **** ****/** facial *********** ******** *** used ** ****** ** their ******.

AI *** *******

****** *** ** **********, the ** *** ** a ******** ******* ******* framework **** **** ** set ********** ***** *** AI ******* ** *** EU. *** ** *** is *** ******** ** come **** ****** ***** H2 **** **** **** application *** *********** ***** H2 ****,********* ** ******* ** London-based **** ******** ******.