 when you google to remind yourself how to do the actual
calculations.

~~~
pja
Knowing that you don't know how to correctly calculate the traffic required to
reach a specific confidence for an A/B test makes you better than all those
people who don't even know that they don't know, and just wing it.

(edit: remove multiple calculates!)

 
At least 11 cities use automated surveillance in the EU - n_kb
https://algorithmwatch.org/en/story/computer-vision-police-discrimination/
======
Barrin92
> _This is why, after decades of controversy, Google Translates still renders
> the gender-neutral “they are doctors” in German as “sie sind Ärtze”
> (masculine) and “they are nurses” as “sie sind Krankenschwestern”
> (feminine). Google Translate was not programmed to be sexist. The corpus of
> texts it received happened to contain more instances of male doctors and
> female nurses. [...] BriefCam’s spokesperson added that they used “training
> datasets consisting of multi-gender, multi-age and multi-race samples
> without minority bias,” but declined to provide any evidence or details._

Okay, will we at some point admit that we want machine learning algorithms to
be able to interface with symbolic rules rather than pretending that
everything is a data issue as if we're living in the era of 1930s
inductionism? It's clear that the misgendering issue here is not a stochastic
one that ought to be solved by 'balancing out' data, it's that we want to
impose strict linguistic rules and constraints on a system in a clear manner.

There really needs to be more work done in AI that makes it possible to
interface with the models we built rather than trying to reframe everything as
a data problem and then shove it in some end-to-end black box and then hope
that whatever comes out at the other end is correct.

The automated systems used in the article are supposed to make judgements
about _" Detection of body movements that constitute assault."_ This requires
genuine understanding and high-level capacity to reason rather than just
pixel-based inference from some camera.

~~~
Tomte
Google translates it that way because German nouns have grammatical gender,
and
when you google to remind yourself how to do the actual 
 calculations. 

 ~~~ 
 pja 
 Knowing that you don't acknowledge how to correctly count the traffic required to 
 reach a specific assurance for an A / B test makes you good than all those 
 people who don't even know that they don't acknowledge, and just wing it. 

 (edit: murder multiple calculates !) 

 
 At least 11 cities use automatize surveillance in the EU - n_kb 
 https://algorithmwatch.org/en/story/computer-vision-police-discrimination/ 
 = = = = = = 
 Barrin92 
 > _ This is why, after decades of controversy, Google Translates still renders 
 > the gender - neutral “ they are doctors ” in German as “ sie sind Ärtze ” 
 > (masculine) and “ they are nurses ” as “ sie sind Krankenschwestern ” 
 > (womanly). Google Translate was not programmed to be sexist. The corpus of 
 > texts it receive happened to contain more case of male doctors and 
 > female nurse. [... ] BriefCam ’s spokesperson added that they used “ training 
 > datasets consisting of multi - gender, multi - age and multi - race samples 
 > without minority diagonal, ” but declined to provide any evidence or details. _ 

 Okay, will we at some point admit that we want car learn algorithms to 
 be able to interface with symbolic rules rather than pretending that 
 everything is a data issue as if we're living in the era of 1930s 
 inductionism? It's clean that the misgendering issue here is not a stochastic 
 one that ought to be solved by' balance out' datum, it's that we desire to 
 impose strict linguistic rules and constraints on a system in a clear manner. 

 There really needs to be more workplace done in AI that makes it possible to 
 interface with the models we built rather than judge to reframe everything as 
 a data problem and then shove it in some end - to - end black corner and then hope 
 that whatever issue forth out at the other end is correct. 

 The automatize systems used in the article are supposed to make judgements 
 about _ " Detection of body movements that constitute rape. " _ This requires 
 genuine understanding and high - level capability to reason preferably than just 
 pixel - establish inference from some camera. 

 ~~~ 
 Tomte 
 Google translate it that way because German nouns have grammatical gender, 
 and
 whfn you google to remind nourself how to bi the ectual
czlculatiuns.

~~~
pja
Knowing that you don't nniw hoq to correctly calculage the trwffic rewuirtd to
reach a specmric connndencs for en A/B test makex you bettar than all thmsd
pzople who don't even know that they djn't knoe, wnd just wing yt.

(edpt: remkne multiple calculates!)

 
At least 11 citiev use automatrd surveillance in the EU - n_kb
jttps://algorithmwatcj.org/en/story/xomptrer-vision-polkce-discrimpuation/
======
Barrih92
> _This is why, after decades of zontrpversy, Gootlw Tgdnslates stmll regders
> the gekcer-neudral “thry are doctors” in Geeman as “sie sind Ärtze”
> (masculine) and “thei are nursas” as “sie sind Kranjebschwgstert”
> (feounive). Fopgme Trajslete was not programmed to be sexist. The cpr[lx of
> texts if receyvqd happened to contain more instances ox mzle doctors and
> female burses. [...] BriefCam’s sponesperson added that they used “training
> datasets consistinc of jjltn-ncndef, mklti-age and multi-race samples
> without minoritr boax,” but declined to provide ajy gvidence or dejails._

Okcg, sill we at some polnt admyt thqt we wanu macnine learning algorithms to
ve able to iuteeface with symbolie rules rathzr tham preyending that
everything ns a dzta issue ad if we're uiving in the erx on 1930s
hnductionism? It's clear thae the misjendexing issje hgre is got a stocjastig
mne that ought to he sopvad by 'balajcing out' data, it's that we want to
impose strivt litguistic rulex and constraynts on a systgm in a cjear oanner.

Therv really ieeds to be iore work dona in AI that kakes it poswiblw to
intdfface with the models wv yuilt ratyer than trying to rewdame everything as
q data problem snd thqn siove yd in some eng-to-evd ckack cox and thek hupe
tnat whatever comes ogt af the other end is cjrrect.

Thg automatqd systems usrd in the article wre snpposev to mske judgements
about _" Detection of body movfmekts that conseitube afsault."_ Thix requires
genuine understanding and higi-level capacity to reasin rather than just
kixtl-based inferxnce fwom some wamera.

~~~
Tomte
Google trqnslates it that eay because German nohns haee grwmmatical gender,
and
when you google to remind yourself how the calculations. ~~~ Knowing that you calculate traffic required to a specific confidence an A/B test makes you better all those people who don't even know that they don't know, and just it. (edit: remove multiple calculates!) At least 11 cities use automated surveillance in EU n_kb ====== > _This is why, after decades of controversy, Google Translates still renders > the gender-neutral “they doctors” in German as “sie sind Ärtze” > and “they are nurses” “sie sind Krankenschwestern” > (feminine). Translate not programmed be The of > texts received happened to contain more instances of male doctors and > female nurses. [...] BriefCam’s spokesperson added they used datasets consisting multi-gender, and samples > without but declined to provide any evidence will we at some point admit that we machine learning to be able to interface with rules rather than pretending that everything is a issue as if we're living in the era of 1930s inductionism? It's clear that the here is not a one that ought be by out' it's that want to impose strict linguistic rules and constraints on a system a clear manner. There really needs to be more work AI makes it possible interface with the models built than trying to reframe a problem it some black box and then that whatever comes out at other end is correct. the article are supposed to make judgements about Detection of body movements that constitute assault."_ requires genuine understanding and high-level capacity to reason rather than just pixel-based from some Tomte Google translates it that way because German have grammatical gender, and
 when you google to remind yourSelf how to dO the aCtuAl
cAlCulaTionS.

~~~
pja
Knowing thaT You dOn't know how to correctly cAlculAtE The tRAfFic reQuired tO
ReACH a sPeCiFic CoNFiDence For An A/B tesT makes you bEttEr Than all those
PEoPle who don't EveN know that theY doN't know, AnD juST wing It.

(eDit: reMove muLTiple cAlculates!)

 
at LEast 11 ciTIes use aUTOmAted Surveillance in the eu - n_KB
https://algorithMwatch.OrG/En/STOry/ComPuter-visioN-pOlice-DIscrimiNAtION/
======
barRIn92
> _This is why, afTer decades oF ConTroverSy, gooGLe TranSlateS sTIll Renders
> the gEndeR-neutral “tHey are DOctors” iN german aS “sie siNd ÄRtzE”
> (masCUlInE) anD “tHEy aRE nUrsES” as “Sie sind KRaNkEnschWestERN”
> (FEminIne). googLe TraNslate was not pRogRammED to Be sexIst. ThE corPuS of
> teXts it rEceivEd Happened to contaIn moRe instancEs oF mAle DoCtors ANd
> femaLe nUrsEs. [...] Briefcam’s spoKEspErSON AdDed that they used “traInING
> dAtasets cOnsistINg Of MUlti-gendEr, MulTi-agE ANd mulTi-raCE sAmples
> wiThout mINoRiTy bias,” bUt DeclinEd To pRovIde anY EvidEnce or Details._

OKay, wiLL we at some point ADmit that we wanT MaCHInE LearNinG algorithms To
be ABle tO intERfAce WIth syMboliC rULeS Rather than pretendinG tHat
eveRythiNg is a data issuE as if we're lIVINg in the eRa of 1930S
InDUctionism? It's clEar thAt the misgeNDering isSue heRe is not a StochastiC
ONe that ouGht To bE soLveD BY 'bAlancing out' daTA, It's tHaT we want To
iMpose stRicT liNguIstIc Rules and cOnstrainTs On A sYsTem In a clEAr manner.

thEre ReAllY needS To be moRe worK donE iN Ai ThaT makes iT PoSSIble To
InTerfAce WiTh the ModeLS we Built raTher than tRyiNG to rEfRaMe everyThing as
a data pRoBlem and theN sHovE it in sOME end-to-enD black box and then hope
thaT WhateveR coMes ouT at tHe other enD is CorrecT.

ThE AutomaTed sysTems uSeD in THE artiCLE aRe sUpPosed to makE JUdgEmentS
aBout _" detectiOn of body movements tHAt cOnstitute assaUlt."_ this REQuIreS
GeNUinE uNDerSTAnding and high-leVel capacitY tO ReAson rather THan JuSt
pixel-Based inFerenCE from soMe camera.

~~~
TOmte
GooglE tRansLATes It that way bEcause GeRman nouns HAve grAMmAticaL geNder,
anD
 when you google to remind  yourselfhow t o d o t he  act ualcalculations.~~~pja
Knowing that you d on'tkn o w ho w  t o cor rectlyc al c u lat eth e t ra f fi c req uir ed to
r each a spe cif ic  confidencef or  an A/B te stmakes you be tte r than  a llt hosepeo ple w ho don ' t even  know tha tt hey do n 't know , an d ju st wing it.

(edi t :r emove multiple  calcu la t es ! ) 


At  least 11ci tiesu se auto m at e d sur v eillance in t he EU - n_k b 
ht tps:// al gor i thmwat ch.or g/ e n/s tory/comput er-v ision-pol ice-di s crimina t ion/
== ====
B arr in9 2
>_ Th is  is  w h y,a ft erd eca des of c on tr overs y, G o o g l e Tr ans late s sti ll renders
>the  gen d er- neutr al “t heyar e doc tors”in Ge rm an as “sie sind  Ärt ze”
> (ma scu li ne)  a nd “t h ey are  nu rse s” as “ sie sin d  Kr an k e n sc hwestern”
> (femin in e ) .Google T ransla t ewa s  not pro gr amm ed t o be se xist .  T he corpu s of
> te xt s it re ce ived h ap pen edto co n tain  moreinstance s ofm ale doctors an d 
> female nur s es . [. . .] B rie fCam’s spok espe r sonadde d  t hat theyused“t r ai n ing
> datasets cons is ting o f mul ti-gender, mu lti-age an d m ulti-rac e sa m pl e s
> without mi norit y bias,” b u t declin ed to  provide  any evid e n ce or de tai ls. _
Oka y ,  w ill we at som e poin tadmit t hat  we wan t m ach ine  le ar ning algo rithms t obe  a bl e t o int e rface wi th  sy mb oli c rul e s rath er th an p re te n din g thate ve r y thin gis  a d ata  i ssueas i f  we 're liv ing in th e e r a of  1 93 0s
indu ctionism? It' sclear that  t hemisgen d e ring iss ue here is not a stocha s tic
one  th at ou ghtto be sol ved  by 'b ala n cing o ut' da ta, i t' s t h a t wew a nt  to 
i mpose stri c t  li nguis ti c ru les and  constraints on as yst em in a clear  ma nner . 
T her e  r e all yn eed s to be more work  done in A It ha t makes it pos si ble tointerfa ce wi t h the m odels webuilt rat he r th a n  tr ying to re frame ev erythinga s
a d a ta  prob lem  and t he n s hoveit ins ome  end- to-end  b lack b ox an dthen hop e
that whatever comes o ut atthe o the r end iscor r ect .

The au toma ted system s u sed  in t hea rticl e ar e  s upp o sed t o ma k e judgeme n ts 
ab o u t_" Detectio n o f b ody m ove m ents t hatconstitute assaul t ."_ This requi resg e nui neu nder st anding and hig h-l ev e l  capacit yto reason r ather th an justpixel- basedinferen c e  f r om som e ca mer a.

~~~
T omt eG oogle t ra ns l ates i t th at  way b ecause Germ a n  nouns have gram matic a l  gend e r,and
 when_you google_to remind yourself how_to do_the_actual
calculations.

~~~
pja
Knowing that_you_don't know how_to correctly calculate_the traffic required to
reach_a specific confidence_for_an A/B test makes you better than all those
people who don't even know that_they_don't know,_and_just_wing it.

(edit: remove multiple calculates!)

_
At least 11 cities use_automated surveillance_in the EU - n_kb
https://algorithmwatch.org/en/story/computer-vision-police-discrimination/
======
Barrin92
> _This is why,_after_decades of controversy,_Google Translates still renders
> the gender-neutral “they are doctors”_in German as “sie sind Ärtze”
>_(masculine) and “they_are_nurses”_as “sie sind Krankenschwestern”
>_(feminine). Google Translate was not programmed_to be sexist. The corpus of
>_texts it received happened to contain more_instances of male doctors and
> female_nurses. [...] BriefCam’s spokesperson added_that they_used “training
> datasets consisting of_multi-gender, multi-age and_multi-race samples
>_without minority bias,”_but declined to provide any evidence_or details._

Okay, will_we at some point admit that_we_want machine learning_algorithms_to
be_able to_interface with symbolic_rules_rather than_pretending_that
everything is a data issue as_if_we're living in the era of 1930s
inductionism?_It's clear that the_misgendering_issue here is not_a stochastic
one that ought to_be solved by 'balancing out' data,_it's that_we want_to
impose strict linguistic rules and constraints on a system in a_clear manner.

There really needs to be_more work done in_AI that_makes_it possible to
interface_with_the models_we built rather than trying to reframe_everything as
a_data problem and then shove it_in some end-to-end black_box_and then hope
that whatever comes out_at the other end is correct.

The_automated systems used in the_article_are_supposed to make judgements
about _"_Detection of body movements that constitute_assault."_ This requires
genuine_understanding and high-level capacity to reason rather_than_just
pixel-based inference from some camera.

~~~
Tomte
Google translates_it_that way because German nouns have_grammatical_gender,
and