懂你L7U2part3Word文档下载推荐.docx

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发现本质;

嫌疑犯emotionalstatesandevenlying 

fromprocessinghumanfaces. 

13.Advertisersandevengovernmentsareveryinterested.

14.Ihadbecomeacomputerprogrammer 

becauseIwasoneofthosekidscrazyaboutmathandscience. 

15.ButsomewherealongthelineI'

dlearnedaboutnuclearweapons, 

andI'

dgottenreallyconcernedwiththeethics伦理学;

道德学ofscience. 

Iwastroubled. 

16.However,becauseoffamilycircumstances, 

Ialsoneededtostartworkingassoonaspossible. 

17.SoIthoughttomyself,hey,letmepickatechnicalfield 

whereIcangetajobeasily 

andwhereIdon'

thavetodealwithanytroublesomequestionsofethics. 

18.SoIpickedcomputers.

19.Well,ha,ha,ha!

Allthelaughsareonme. 

20.Nowadays,computerscientistsarebuildingplatforms平台 

thatcontrolwhatabillionpeopleseeeveryday. 

21.They'

redevelopingcarsthatcoulddecidewhotorunover. 

22.They'

reevenbuildingmachines,weapons, 

thatmightkillhumanbeingsinwar. 

23.It'

sethicsallthewaydown.

1.Theidiom“somewherealongtheline”meansatsomepointduringaprocess.

OnMachineIntelligence2

1.Machineintelligenceishere. 

2.We'

renowusingcomputationtomakeallsortofdecisions, 

butalsonewkindsofdecisions. 

3.We'

reaskingquestionstocomputationthathavenosinglerightanswers, 

thataresubjective 

andopen-endedandvalue-laden偏向于接受特定价值观念的.

4.We'

reaskingquestionslike, 

Whoshouldthecompanyhire?

5."

Whichupdatefromwhichfriendshouldyoubeshown?

Whichconvict宣判…有罪ismorelikelytoreoffend再冒犯;

再犯罪?

7."

Whichnewsitemormovieshouldberecommendedtopeople?

8.Look,yes,we'

vebeenusingcomputersforawhile, 

butthisisdifferent. 

9.Thisisahistoricaltwist欺骗;

欺诈, 

becausewecannotanchor主持人;

顶梁柱;

刹车;

computationforsuchsubjectivedecisions 

thewaywecananchorcomputationforflyingairplanes,buildingbridges, 

goingtothemoon. 

10.Areairplanessafer?

11.Didthebridgesway摇摆;

摆动andfall?

12.There,wehaveagreed-upon一致同意的;

约定,fairlyclearbenchmarks标准检查程序;

基准, 

andwehavelawsofnaturetoguideus. 

13.Wehavenosuchanchorsandbenchmarks 

fordecisionsinmessyhumanaffairs.

B

1.Tomakethingsmorecomplicated,oursoftwareisgettingmorepowerful, 

butit'

salsogettinglesstransparent透明的;

受公众监督的;

易察觉的andmorecomplex.

2.Recently,inthepastdecade, 

complexalgorithms运算法则;

计算程序havemadegreatstrides阔步行进;

大踏步走. 

3.Theycanrecognizehumanfaces. 

4.Theycandecipher破译;

译解;

handwriting. 

5.Theycandetectcreditcardfraud欺骗 

andblockspam垃圾邮件 

andtheycantranslatebetweenlanguages. 

Theycandetecttumors肿瘤inmedicalimaging. 

6.TheycanbeathumansinchessandGo.

7.Muchofthisprogresscomesfromamethodcalled"

machinelearning."

8.Machinelearningisdifferentthantraditionalprogramming,whereyougivethecomputerdetailed,exact,painstaking刻苦的;

下苦功的instructions. 

9.It'

smorelikeyoutakethesystemandyoufeeditlotsofdata, 

includingunstructureddata, 

likethekindwegenerateinourdigitallives. 

10.Andthesystemlearnsbychurning搅拌;

搅动;

翻腾throughthisdata. 

11.Andalso,crucially, 

thesesystemsdon'

toperateunderasingle-answerlogic. 

12.Theydon'

tproduceasimpleanswer;

it'

smoreprobabilistic可能性的;

或然性的:

Thisoneisprobablymorelikewhatyou'

relookingfor."

13.Now,theupside积极面is:

thismethodisreallypowerful. 

14.TheheadofGoogle'

sAIsystemscalledit, 

theunreasonableeffectivenessofdata."

15.Thedownsideis, 

wedon'

treallyunderstandwhatthesystemlearned. 

Infact,that'

sitspower. 

16.Thisislesslikegivinginstructionstoacomputer;

it'

smoreliketrainingapuppy-machine-creature 

treallyunderstandorcontrol. 

17.Sothisisourproblem. 

18.It'

saproblemwhenthisartificialintelligencesystemgetsthingswrong. 

19.It'

salsoaproblemwhenitgetsthingsright,becausewedon'

tevenknowwhichiswhichwhenit'

sasubjectiveproblem. 

20.Wedon'

tknowwhatthisthingisthinking.

C

1.So,considerahiringalgorithm-- 

asystemusedtohirepeople,usingmachine-learningsystems. 

2.Suchasystemwouldhavebeentrainedonpreviousemployees'

data 

andinstructedtofindandhire 

peopleliketheexistinghighperformersinthecompany.

3.Soundsgood. 

4.Ionceattendedaconference 

thatbroughttogetherhumanresourcesmanagersandexecutives, 

high-levelpeople,usingsuchsystemsinhiring. 

5.Theyweresuperexcited. 

6.Theythoughtthatthiswouldmakehiringmoreobjective,lessbiased有偏见的;

有偏的;

结果偏倚的, 

andgivewomenandminorities少数;

未成年;

未及法定年龄abettershot 

againstbiasedhumanmanagers.

7.Andlook--humanhiringisbiased. 

8.Iknow. 

Imean,inoneofmyearlyjobsasaprogrammer,

9. 

Myimmediatemanager直属经理wouldsometimescomedowntowhereIwas 

reallyearlyinthemorningorreallylateintheafternoon, 

andshe'

dsay,"

Zeynep,let'

sgotolunch!

10.I'

dbepuzzledbytheweirdtiming. 

It'

s4pm.Lunch?

11.Iwasbroke,sofreelunch.Ialwayswent. 

12.Ilaterrealizedwhatwashappening. 

13.Myimmediatemanagershadnotconfessed承认totheirhigher-ups高层;

大人物 

thattheprogrammertheyhiredforaseriousjobwasateengirl 

whoworejeansandsneakers运动鞋towork. 

14.Iwasdoingagoodjob,Ijustlookedwrong 

andwasthewrongageandgender.

15.Sohiringinagender-andrace-blind不分性别和种族way 

certainlysoundsgoodtome. 

16.Butwiththesesystems,itismorecomplicated,andhere'

swhy:

17.Currently,computationalsystemscaninferallsortsofthingsaboutyou 

fromyourdigitalcrumbs细屑, 

evenifyouhavenotdisclosed揭露;

使显露;

公开thosethings. 

18.Theycaninferyoursexualorientation, 

yourpersonalitytraits特征, 

yourpoliticalleanings. 

19.Theyhavepredictive预言性的;

预计的powerwithhighlevelsofaccuracy准确;

精确;

准确度. 

20.Remember--forthingsyouhaven'

tevendisclosed. 

Thisisinference.

练:

1.Therearenoguidelinesforsubjectiveissues.

2.AccordingtoTufekci,machineintelligenceshouldnotbetrustedtohirenewemployees.

3.Toanchorsomethingmeanstomakeitstableandsecure.

4.Itisoftenunclearhowitcomestoitsconclusions.

5.Itleadstoprobabilistic可能性的;

或然性的answers.

6.Ifamethodorargumentisprobabilistic,itisbasedonwhatismostlikelytobetrue.

7.Shedidn’tappearqualifiedforthejobduetoherageandgender.

8.Tomakeaninferencemeanstoformanopinionbasedontheavailableinformation.

9.Iwasdoingagoodjob,Iwasthewrongageandgender.

OnMachineIntelligence3

1.Ihaveafriendwhodevelopedsuchcomputationalsystems 

topredictthelikelihoodofclinical临床的;

临诊的;

冷静能干的;

客观的;

冷淡疏远的;

不偏不倚的;

orpostpartum产后的depression 

fromsocialmediadata. 

2.Theresultsareimpressive. 

3.Hersystemcanpredictthelikelihoodofdepression 

monthsbeforetheonset开始ofanysymptoms症候;

症状;

病徵;

-- 

monthsbefore. 

4.Nosymptoms,there'

sprediction. 

5.Shehopesitwillbeusedforearlyintervention插入;

介入;

干预;

干涉;

措施;

做法.Great!

6.Butnowputthisinthecontextofhiring.

7.Soatthesehumanresourcesmanagers’conference, 

Iapproachedahigh-levelmanagerinaverylargecompany, 

8.AndIsaidtoher,"

Look,whatif,unbeknownst未知的toyou, 

yoursystemisweeding淘汰outpeoplewithhighfuturelikelihoodofdepression?

9.They'

renotdepressednow,justmaybeinthefuture,morelikely. 

10.Whatifit'

sweedingoutwomenmorelikelytobepregnant 

inthenextyearortwobutaren'

tpregnantnow?

11.Whatifit'

shiringaggressivepeoplebecausethat'

syourworkplaceculture?

12.Youcan'

ttellthisbylookingatgenderbreakdowns. 

Thosemaybebalanced. 

13.Andsincethisismachinelearning,nottraditionalcoding编码, 

14.thereisnovariable易变的;

多变的;

反复无定的therelabeled"

higherriskofdepression,"

higherriskofpregnancy,"

aggressiveguyscale."

15.Notonlydoyounotknowwhatyoursystemisselectingon, 

youdon'

tevenknowwheretobegintolook. 

sablackbox. 

16.Ithaspredictivepower,butyoudon'

tunderstandit.

17."

Whatsafeguards,"

Iasked,"

doyouhave 

tomakesurethatyourblackboxisn'

tdoingsomethingshady不正当的;

靠不住的;

可疑的?

18.ShelookedatmeasifIhadjuststeppedon10puppytails.

19.Shestaredatmeandshesaid, 

Idon'

twanttohearanotherwordaboutthis."

20.Andsheturnedaroundandwalkedaway. 

21.Mindyou--shewasn'

trude. 

Itwasclearly:

whatIdon'

tknowisn'

tmyproblem,goaway,deathstare.

22.Look,suchasystemmayevenbelessbiased 

thanhumanmanagersinsomeways. 

23.Anditcouldmakemonetary金钱的;

货币的sense. 

24.Butitcouldalsolead 

toasteady稳定的butstealthy隐秘的shuttingoutofthejobmarket 

ofpeoplewithhigherriskofdepression. 

25.Isthisthekindofsocietywewanttobuild, 

withoutevenknowingwe'

vedonethis,

26. 

Becauseweturneddecision-makingtomachineswedon'

ttotallyunderstand?

1.Anotherproblemisthis:

thesesystemsareoftentrainedondatageneratedbyouractions, 

humanimprints痕迹. 

2.Well,theycouldjust

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