Fumana ngenkqubo

Ngaba ufuna umsebenzi onesikhumbuli esiphumeleleyo? Uya kujongana nokhuphiswano oluninzi. Kwiminyaka emibini edlulileyo sachs ifumene ikota yesigidi seZicelo ezivela kubafundi kunye nabaphumeleleyo. Ezo ayisoyiki nje eyoyikisayo yeShyhutens; bayingxaki esebenzayo kwiinkampani. Ukuba iqela labasebenzi abahlanu seGoldman-Gosman, ukusebenza iiyure ezili-12 mihla le, kubandakanya imizuzu emihlanu kwisicelo ngasinye, baya kuthatha unyaka ukugqibezela imfumba yemfumba.

Ayimangalisi into yokuba iifemu ezinkulu zisebenzisa inkqubo yekhompyuter, okanye i-algorithm, xa kufikwa kuvavanyo lwabafundi abafuna imisebenzi efuna iJunior imisebenzi. Kwaye oko kuthetha ukuba abenzi-sicelo banokuzuza ngokwazi ngqo into abayifunayo ii-algorithms.

I-victoria McClean yintloko eyayisakuba yintloko kunye nomphathi wokugaya abasebenzi abamisela ishishini elibizwa ngokuba sisiXeko se-CV, elinceda abagqatswa umsebenzi. Utsho iinkqubo zokulandela umkhondo (i-ATs) ukwala ukuya kuthi ga kwiipesenti ezingama-75 zee-CVs, okanye ii-CVS, okanye iRésamumés, ngaphambi kokuba umntu azibone. Iinkqubo ezinjalo zizingela ngamagama aphambili ahlangabezana neekhrayitheriya zomqeshi. Inqaku elinye kukufunda ulwimi olusetyenziswe kwintengiso yomsebenzi; Ukuba i-PMOS PM isetyenziselwa ulawulo lweprojekthi, emva koko qinisekisa ukuba i-PM ivele kwi-CV yakho.

Oku kuthetha ukuba i-CV ye-generic inokuwa kumngxunya wokuqala. U-Ms Mclean wayenomthengi owayelilungu elidala lomkhosi oxhobileyo. Amava akhe akhombe kwimisebenzi enokubakho kuqeqesho nakwimfundo, ukuthengwa okanye ukuthengisa okanye ukhuseleko. Esona sicwangciso silungileyo yayikukwakha ii-CVs ezintathu ezahlukeneyo zisebenzisa iiseti ezahlukeneyo zamagama aphambili. Kwaye imisebenzi ye-Gomehutyle nayo kufuneka iqinisekise ukuba iprofayile yabo ye-Linkedy kunye ne-CV yabo iqinile; Uninzi lwabaqeshi abaninzi baya kusebenzisa iwebhusayithi ukukhangela iziqinisekiso zabafundi, utsho.

Ukupasisela inqanaba le-ATS kusenokungabi yi-Gomehunter kuphela isithintelo seTekhnoloji kuphela. Iinkampani ezininzi, kubandakanya iVodafone kunye ne-Intel, zisebenzise inkonzo ye-hair-dristi ebizwa ngokuba yi-hurevie. Abaviwa badityaniswe ngelixa iNkqubo yokuHlola kweNgqondo Abantu abafaka iingalo zabo malunga ne okanye isidenge esihlalweni sabo banokusilela. Kuphela kuxa badlulisela olo vavanyo baya kubadibana nabantu.

Unokulindela ukuba iinkqubo ze-AI zikwazi ukuphepha ezinye zeendlela zokuqeshwa kwabafundi eziqhelekileyo-ngakumbi lo tyekelo lodliwanondlebe ukuba bathande abagqatswa abafana nodliwanondlebe. Okwangokucalucalulo kunokubonisa ngeendlela ezingalindelekanga. I-ANJA ye-Anjarcht kunye ne-Catherine Tucker, oonontlalontle bobabini, babeka imisebenzi yokukhuthaza imisebenzi kwisayensi, itekhnoloji, ubunjineli kunye ne-Facebook kwi-Facebook. Bafumanisa ukuba iintengiso zazingaphantsi kokuba ziboniswe kubafazi kunabantu.

Oku kwakungeyo ngenxa yokukhetha ngaphandle kwe-algorithm ye-Facebook. Endaweni yoko, abasetyhini abancinci baliqela elixabisekileyo le-16 le-facebook (kuba balawula inkcitho ephezulu yekhaya) kwaye ke iintengiso zibiza kakhulu. Ii-algorithms zendalo ezijolise kuzo apho ukubuya kutyalo-mali kuphezulu: kuba amadoda, hayi abasetyhini.

Kwincwadi yabo ye-Artificial Arrawal, i-AJAY AGMAWAL, Joshua Gannerfarb ye-Toronto yeGoronto yaseToronto (i-Avibing Rotter School (ibhokisi emnyama ye-algorithms. Ukuba Fumanisa ukuba ukukhutshwa kwenkqubo ye-AI kunocalucalulo, kufuneka basebenze ukuze kutheni, emva koko bahlengahlengisa i-algorithm de kube yimpumelelo.

Ixhala malunga ne-bias elinokubakho kwiinkqubo ze-AI ivele kwiindawo ezibanzi, ukusuka kubulungisa bolwaphulo-mthetho kwi-inshurensi. Ukugaywa, kwakhona, iinkampani ziya kujongana nomngcipheko osemthethweni kunye neyamkeli ukuba iindlela zabo zokuqesha ziphuma zingalunganga. Kodwa nabo bafuna ukuqwalasela ukuba ngaba iinkqubo zenza okungaphezulu nje kokwenza lula inkqubo. Umzekelo, ngaba abagqatswa abaphumeleleyo baneemisebenzi ezinde nezinemveliso? Abasebenzi abaphumeleleyo, emva kwayo yonke loo nto, yenye yezona ndleko ziphambili zokugaya ezinobuso.

Kunokubakho nakho ukubakho kwezalo njengabaviwa bafunda indlela yokuhlengahlengisa ii-CVs zabo ukuba baphumelele uvavanyo lwe-AI lokuqala, kwaye i-algorithms ilungelelanise ukuze incedise kwakhona abagqatswa abangakumbi. Oku kudala i-Caste yenye i-Bias: Abaviwa abavela kumakhaya abaphumeleleyo (kwaye kumaqela athile) banokuba ngokukhawuleza ukuhlaziya ii-CVs zazo. Emva koko, oku kunokufuna iinkampani ukuba zihlengahlengise ii-algorithms zazo kwakhona zokuphepha ucalucalulo. Ixabiso lobukrelekrele bokwenyama lubonakala ngathi luphaphale ngonaphakade.

Yintoni engakumbi, ukuba unayo nayiphi na into enomdla kwi- Eva ye-Eva ye-Eva ye-Eva okanye i - Eva Sud Pad & I - EVA PROCCON PAD , nceda ukhululeke ukunxibelelana nathi.

Iqela le-melors

2018.09.27

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