Sezvo maindasitiri mazhinji anoshandisa simba realgorithms kuita otomatiki mashandiro uye kuita sarudzo, kudzidza kwemichina kuri kuita chinhu chakakosha chemashandiro anoita nyika yanhasi.
Iyo nyaya yekurerekera mukudzidza kwemichina yakakosha kutarisisa kana modhi dzekudzidza dzemuchina dzakabatanidzwa mumasangano akasiyana-siyana ekuita sarudzo.
Kuvimbisa kuti sarudzo dzakagadzirwa nealgorithms hadzina rusaruro uye hadzina rusaruro chinofanira kunge chiri chinangwa chesangano chero ripi zvaro rinoshandisa modhi yekudzidza muchina. Kuve nechokwadi chekuti zvinobuda zvemodhi zvinogona kuvimbwa nazvo uye kuonekwa sezvakanaka, zvakakosha kuziva uye kugadzirisa machine learning kurerekera.
Inoenderana nemibvunzo yekutsanangura modhi, kana kuti zviri nyore sei kuti munhu abate kuti modhi yekudzidza yemuchina yakasvika sei pamhedziso. Mafambiro uye mapatani ayo mamepu ekudzidza emuchina uye kudzidza anobva kune iyo data pachayo kwete kuburikidza nekusimudzira kwakananga kwevanhu.
Rusarura mukudzidza kwemichina inogona kubuda nekuda kwezvikonzero zvakasiyana kana ikasadzorwa nekutariswa. Kana modhi ikaiswa, inowanzosangana nemamiriro asina kunyatso kuratidzwa mune yekudzidziswa data data.
Iyo modhi inogona kunge yakanyanyisa kune iyi isingamiriri yekudzidziswa seti yedata. Pasinei nemhando yepamusoro yedata rekudzidzisa, modhi yacho inogona kunge ichiri kukanganiswa nekurerekera kwenhoroondo kunokonzerwa nekurudziro yetsika nemagariro.
Kana yangoitwa, modhi yakarerekera inogona kufarira mamwe mapoka kana kurasikirwa nehuroyi nemamwe ma data subset. Izvi zvinogona kuguma nekutonga kunoranga zvisiri izvo rimwe boka revanhu, izvo zvinogona kuva nemigumisiro yakaipa panyika chaiyo.
Ichi chinyorwa chinokurukura kusarudzika kwekudzidza kwemuchina, kusanganisira kuti chii, kuti unozviona sei, njodzi yainounza, nezvimwe zvakawanda.
Saka, Chii chinonzi Machine Kudzidza Bias?
Algorithm inogadzira zvinobuda zvakarongeka zvakarerekera nekuda kwefungidziro dzenhema dzakaitwa panguva yekudzidza muchina inozivikanwa semuchina kudzidza bias, inozivikanwawo sealgorithm bias kana inozivikanwa seAI bias.
Kurerekera kwemuchina itsika ye modhi yekufarira imwe seti yedata kana chidimbu che data; kazhinji inounzwa nevasiri vamiriri vekudzidzisa datasets. Nekumwe kuunganidzwa kwedata, modhi yakarerekera ichaita yakaderera, izvo zvinokuvadza kurongeka kwayo.
Mumamiriro ezvinhu epasirese, izvi zvinogona kureva kuti data redzidziso rakarerekera rakakonzera kuburitswa kwemuenzaniso kunofarira imwe dzinza, huwandu hwevanhu, kana murume kana murume.
Nekuda kweizvozvo, zvinobuda zvemuchina kudzidza zvinogona kusarurama kana kusarura. Kudzidziswa kusina mumiririri datasets inogona kubatsira mukusarura mukudzidza muchina.
Iyo inoguma modhi inogona kurerekera kune mamwe, asina kumiririrwa zvikamu kana data rekudzidziswa risipo kana kumiririra zvakanyanya kune rimwe boka re data. Izvi zvinogona kuitika kana sampu yedata yekudzidzira isinganyatso kuenderana nenzvimbo yekutumirwa kwepasirese.
Kudzidza kwemichina muindasitiri yehutano, iyo inogona kushandiswa kutarisa data revarwere kurwisa zvirwere zvinozivikanwa kana zvirwere, muenzaniso wakanaka. Mienzaniso inogona kukurumidzira kupindira kwevarapi kana ikashandiswa nemazvo.
Zvisinei, rusaruro runobvira. Pawakakumbirwa kufanotaura hurwere hunogona kuitika mumurwere akura, modhi haigone kuita zvakanaka kana data rekudzidziswa rinoshandiswa kuivaka kazhinji rine data remurwere kubva pazera diki.
Uyezve, nhamba dzenhoroondo dzinogona kukanganiswa. Somuenzaniso, nokuti kare, vazhinji vevashandi vaiva varume, muenzaniso wakadzidziswa kusefa vashandi vaizofarira varume vakakumbira.
Kurerekera kwemuchina kwekudzidza kuchave nepesvedzero pakurongeka kwemuenzaniso mune zvese zviri zviviri, uye mumamiriro ezvinhu akaipisisa, zvinogona kutokonzera kusarura uye kusarurama mhedziso.
Sarudzo dzinofanirwa kunyatsoongororwa kuona kuti hapana kurerekera senge michina yekudzidza mamodheru kutsiva mamwe mabasa emaoko akawanda. Nekuda kweizvozvo, maitiro ekutonga emhando mune chero sangano anofanirwa kusanganisira kutarisa kwemuchina kudzidza kwakasarudzika.
Mhando dzakawanda dzakasiyana dzemabasa mumaindasitiri mazhinji akasiyana ari kupedzwa nemichina yekudzidza modhi. Nhasi, modhi dzinoshandiswa kuita otomatiki maitiro ari kuramba achioma uye kugadzira mazano. Mukuita sarudzo uku, kurerekera kunoreva kuti modhi inogona kufarira rimwe boka pane rimwe zvichibva pane zvakadzidzwa.
Kana ikashandiswa kuita mitongo isina kuchengetedzeka nemhedzisiro chaiyo, izvi zvinogona kuve nemhedzisiro yakaoma. Kana ikashandiswa kutendera zvikumbiro zvechikwereti, semuenzaniso, modhi yakarerekera inogona kukanganisa vamwe vanhu. Mumabhizinesi akadzorwa uko chero zviito zvinogona kuongororwa kana kuongororwa, ichi chinhu chakakosha kutarisisa.
Machine Kudzidza Bias marudzi
- Algorithm Bias -Izvi zvinoitika kana paine bug mune algorithm iyo inoita maverengero anotyaira muchina kudzidza computations.
- Muenzaniso Kusarura - Kana iyo data yakashandiswa dzidzisa muchina kudzidza modhi ine nyaya, izvi zvinoitika. Muzviitiko zverudzi urwu rwekurerekera, huwandu kana kunaka kwedata rinoshandiswa kudzidzisa sisitimu haina kukwana. Iyo algorithm ichadzidziswa kutenda kuti vadzidzisi vese vanhukadzi kana, semuenzaniso, data rekudzidziswa rakazara nevadzidzisi vechikadzi.
- Kusabatanidzwa -Izvi zvinoitika kana yakakosha data poindi isipo kubva pane seti yedata iri kushandiswa, izvo zvinogona kuitika kana vatevedzeri vakatadza kuona kukosha kwekushaikwa kwedata.
- Kusarura -Muchiitiko ichi, muchina kudzidza pachawo kwakarerekera sezvo data rinoshandiswa kudzidzisa sisitimu rinoratidza kusarura chaiko kwepasirese senge rusarura, stereotypes, uye fungidziro dzemagariro asiri iwo. Semuenzaniso, kana data pamusoro pevashandi vekurapa raizoverengerwa mukombuta yaingosanganisira varapi vechirume nevakoti vechikadzi, fungidziro yepasirese yevakadzi nezvevashandi vehutano yaizoenderera mberi.
- Measurement Bias - Sezvinoreva zita, rusaruro urwu rwunobva pazvinhu zvakakosha nemhando yedata uye nzira dzinoshandiswa kuiunganidza kana kuiongorora. Hurongwa huri kudzidziswa kunyatsoongorora huremu huchave hwakarerekera kana zviyereso zviri mudhata rekudzidzisa zvakagara zvakatenderedzwa, uye kushandisa mifananidzo yevashandi vanogutsikana kudzidzisa hurongwa hunoreva kuongorora nzvimbo yebasa inogona kusarura kana vashandi vari mumifananidzo vaiziva. vakanga vachiyerwa nokuda kwomufaro.
Ndezvipi zvinhu zvinokonzeresa kusarura mukudzidza kwemichina?
Kunyangwe paine zvikonzero zvakawanda zvekusarudzika kwekudzidza kwemuchina, zvinowanzoitika kubva mukusarura mu data rekudzidzisa pacharo. Pane zvinoverengeka zvinokonzeresa zvikonzero zvekusarura mukudzidziswa data.
Mufananidzo unonyanya kuoneka ndeye data yekudzidzira, inova chikamu chemamiriro ezvinhu anoonekwa mune yakatumirwa system isiri yakajairika. Izvi zvinogona kunge zviri data rekudzidzisa riine kumiririrwa kwechimwe chikamu kana huwandu husina kuenzana hwechimwe.
Izvi zvinozivikanwa sesample bias, uye zvinogona kuguma kubva kusiri-randomized kudzidziswa data kuunganidzwa. Nzira dzinoshandiswa kuunganidza, kuongorora, kana kuronga data, pamwe chete nemidzi yenhoroondo ye data, zvose zvinogona kutungamirira kune kusarura mu data pachayo.
Ruzivo rwunogona kunge rwakarerekera munhoroondo mutsika huru kwayakaunganidzwa.
Kusarudzika kwekudzidza kwemuchina kunonyanya kukonzerwa ne:
- Kusarura kunokonzerwa nevanhu kana nzanga mune yenhoroondo data inoshandiswa kudzidzisa algorithms.
- Kudzidzira data risingaratidzi mamiriro chaiwo enyika.
- Kusarura paunenge uchiisa mazita kana kugadzirira data yekudzidza muchina wakatariswa.
Semuenzaniso, kushaikwa kwekusiyana-siyana mukudzidzisa data kunogona kukonzera kumiririra. Kurongeka kwemamodhi ekudzidza muchina kunowanzo kukanganiswa nenhoroondo yekurerekera mune yakafara tsika.
Izvi dzimwe nguva zvinodaidzwa kuti magariro evanhu kana kuti vanhu. Kutsvaga kuunganidzwa kwakakura kwedata kusingaite kurerekera kune nzanga kunogona kuve kwakaoma. Iyo data yekugadzirisa nhanho yemuchina wekudzidza lifecycle inotapukirwa nekusarura kwevanhu.
Iyo data yakanyorwa uye yakagadziriswa nesaenzi yedata kana imwe nyanzvi inodiwa pakudzidza muchina wakatariswa. Kunyangwe zvichibva mumhando dzakasiyana-siyana dzedata dzinocheneswa, manyorerwo anoitwa mapoinzi edata, kana kusarudzwa kwezvinhu, rusaruro mune iyi rekodhi maitiro anogona kutungamirira kune rusaruro mukudzidza kwemichina.
Muchina Kudzidza Bias Njodzi
Sezvo mamodheru ari maturusi ekuita sarudzo anofambiswa nedatha, inofungidzirwa kuti inopa kutonga kwakasarudzika. Mamodheru ekudzidza emuchina anowanzo aine rusarura, izvo zvinogona kukanganisa mhedzisiro.
Maindasitiri mazhinji ari kuita muchina kudzidza panzvimbo yesoftware yechinyakare uye maitiro. Mamodheru akarerekera anogona kuve nemhedzisiro yakaipa munyika chaiyo kana mamwe mabasa akaomarara ari otomatiki achishandisa modhi.
Kudzidza kwemichina hakuna kusiyana nemamwe maitiro ekuita sarudzo mukuti masangano nevanhu vanotarisira kuti ive pachena uye nekuenzana. Nekuti kudzidza kwemichina ibasa reotomatiki, kutonga kunoitwa nekuishandisa kunomboongororwa zvakanyanya.
Izvo zvakakosha kuti masangano ave nesimba mukugadzirisa njodzi sezvo rusaruro mukudzidza muchina runogona kugara rwuine rusarura kana kukanganisa kune vamwe vanhu. Kune mamiriro akadzorwa, kunyanya, mukana wekurerekera mukudzidza kwemichina unofanirwa kuverengerwa.
Semuenzaniso, kudzidza kwemichina mumabhangi kunogona kushandiswa kugamuchira otomatiki kana kuramba vanyoreri vemba mushure mekutanga kuongororwa. Modhi inorerekera kune rimwe boka revanoda kukwikwidza inogona kuva nemhedzisiro yakaipa kune vese vari kukwikwidza uye nesangano.
Chero kusarura kunowanikwa munzvimbo yekutumirwa uko zviito zvinogona kuongororwa zvinogona kutungamirira kumatambudziko makuru. Iyo modhi inogona kusashanda uye, mumamiriro ezvinhu akaipisisa, inogona kutozove yekusarura nemaune.
Kusarura kunofanirwa kunyatsoongororwa uye kugadzirirwa nekuti zvinogona kuita kuti modhi ibviswe zvachose pakutumirwa. Kuwana ruvimbo muzvisarudzo zvemuenzaniso kunoda kunzwisisa uye kugadzirisa kusarudzika kwekudzidza kwemichina.
Huyero hwekuvimba mukati mesangano uye pakati pevatengi vebasa rekunze hunogona kukanganiswa nekusarura kunoonekwa mukuita sarudzo. Kana mamodheru asingavimbike, kunyanya kana achitungamira sarudzo dzine njodzi huru, haashandiswe pakugona kwawo kuzere mukati mesangano.
Paunenge uchiongorora kutsanangurika kwemuenzaniso, kuverenga kwekurerekera kunofanirwa kuve chinhu chinofanira kutariswa. Iko chokwadi uye huchokwadi hwesarudzo dzemhando dzinogona kukanganiswa zvakanyanya nekusatariswa kwekudzidza muchina.
Dzimwe nguva zvinogona kuguma nezviito zverusarura zvinogona kukanganisa vamwe vanhu kana mapoka. Mazhinji maapplication aripo kune akasiyana emuchina ekudzidza modhi mhando, uye imwe neimwe inotarirwa nemuchina kudzidza kusarura kusvika pamwero wakati.
Kurerekera pakudzidza kwemuchina kunoratidzwa ne:
- Nekuda kwekushaikwa kwezvakasiyana-siyana mudhata rekudzidziswa, kucherechedzwa kwechiso algorithms kunogona kushomeka kune mamwe mapoka emarudzi.
- Chirongwa ichi chaigona kuona kusarura kwerudzi nevarume mune data nekuda kwerusaruro rwevanhu kana nhoroondo.
- Neimwe mutauro kana matauriro, magadzirirwo emutauro wechisikigo anogona kunyatsojeka, uye anogona kusakwanisa kugadzirisa mataurirwo asina kumiririrwa mudhata rekudzidzisa.
Kugadzirisa Kusarura muKudzidza kweMichina
Kutarisa uye kudzidzisazve modhi kana kurerekera kwawanikwa inzira mbiri dzekugadzirisa kusarerekera kwekudzidza muchina. Kazhinji, kurerekera kwemodhi chiratidzo chekurerekera mudhata rekudzidziswa, kana zvirinani kurerekera kunogona kuve nechekuita nedanho rekudzidziswa remuchina wekudzidza lifecycle.
Yese nhanho yemodhiyo yehupenyu inofanirwa kuve nematanho aripo ekubata kurerekera kana modhi kukukurwa. Maitiro ekutarisa muchina kudzidza mushure mekutumirwa anosanganisirwawo. Izvo zvakakosha kuti ugare uchitarisa modhi uye dhataseti kune yakarerekera.
Izvi zvinogona kusanganisira kuongorora dhata rekudzidzisa kuona kuti mapoka anogoverwa nekumiririrwa sei ipapo. Zvinogoneka kugadzirisa uye/kana kuvandudza dhatasets izvo zvisingamiriri zvachose.
Pamusoro pezvo, kurerekera kunofanirwa kutariswa paunenge uchiongorora mashandiro eiyo modhi. Kuedza mashandiro eiyo modhi pazvikamu zvakasiyana zve data zvinogona kuratidza kana yakarerekera kana kuti yakawandisa zvine chekuita nerimwe boka.
Zvinogoneka kuongorora mashandiro emuchina wekudzidza pane mamwe data subset uchishandisa nzira dzekuchinjisa. Maitiro acho anosanganisira kupatsanura iyo data muyakasiyana yekudzidziswa uye yekuyedza dataset.
Iwe unogona kubvisa kusarura mukudzidza kwemuchina ne:
- Kana zvichidikanwa, dzokorora modhi uchishandisa yakakura, inomiririra seti yekudzidzisa.
- Kugadzira nzira yekunyatsotarisa mhedzisiro yakarerekera uye mitongo isina kujairika.
- Reweighting maficha uye kugadzirisa hyperparameters sezvinodiwa zvinogona kubatsira kuzvidavirira kune bias.
- Kukurudzira kugadziriswa kwekusarura kwakawanikwa kuburikidza nekutenderera kutenderera kwekuona uye kugadzirisa.
mhedziso
Zvinokwezva kutenda kuti kana wangodzidziswa, modhi yekudzidza muchina yaizoshanda yakazvimirira. Muchokwadi, mamiriro ekushanda emodhi anogara achichinja, uye mamaneja anofanirwa kudzidzisazve mamodheru vachishandisa nyowani data seti nguva nenguva.
Kudzidza kwemichina parizvino ndeimwe yeanonyanya kunakidza tekinoroji kugona kune chaiyo-yepasirese hupfumi mabhenefiti. Kudzidza kwemuchina, kana kwapetwa nehukuru hwedata matekinoroji uye rakakura simba recomputing rinowanikwa kuburikidza negore reruzhinji, rine mukana wekushandura mabatiro anoita vanhu nehunyanzvi, uye pamwe maindasitiri akazara.
Nekudaro, sekuvimbisa sekunge tekinoroji yekudzidza muchina, inofanirwa kunyatsorongwa kuitira kudzivirira kusarura kusingaite. Kubudirira kwekutonga kwakaitwa nemichina kunogona kukanganiswa zvakanyanya nekusarura, chinova chinhu icho vanogadzira modhi yekudzidza yemuchina vanofanira kufunga nezvazvo.
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