Imibono kanye nezingozi zokuhlanganisa ubuhlakani bokwenziwa

Informatec Digital » Izinsiza » Imibono kanye nezingozi zokuhlanganisa ubuhlakani bokwenziwa

La ukuhlanganisa ubuhlakani bokwenziwa nazo zonke izici zempilo yethu Kwenzeka ngokushesha okukhulu kunalokho izinhlangano eziningi nabantu abangakucabanga. Kusuka kuma-algorithms wokuncoma okuqala, sihambe ngesikhathi sokurekhoda saya kumamodeli akhiqizayo akwazi ukubhala imibiko, ukuhlaziya izinkontileka, ukudala izithombe ezingokoqobo, nokwenza izinqumo ezizenzakalelayo ezinqubweni zebhizinisi ezibalulekile.

Lokhu kwanda okusheshisiwe kuvula uhla olukhulu lwamathuba, kodwa futhi Iza nezingozi, izingqinamba zokuziphatha, nezinselele zokulawula. Lezi yizindaba ezingenakuzitshwa. Akukhona mayelana nokukhetha phakathi kombono we-apocalyptic noma i-naive techno-optimism, kodwa mayelana nokuqonda ngokuthula ukuthi i-AI yamanje yenzani ngempela, yini engenzi, lapho yengeza khona inani elikhulu, futhi lapho ingaba inkinga enkulu uma ingalawulwa ngokuhlakanipha.

Yini esiyiqondayo namuhla ngobuhlakani bokwenziwa?

Uma sikhuluma nge-AI ekuphileni kwansuku zonke, empeleni sibhekisela kusethi ye ama-algorithms okuthuthukisa kanye namamodeli ezibalo aqeqeshwe ngevolumu enkulu yedathaAkuwona imishini eqaphelayo noma "ubuchopho" obucabanga njengomuntu, kodwa amasistimu afunda amaphethini futhi akhiqize imiphumela ewusizo (noma ebambekayo) emisebenzini eqondile.

Ezweni lebhizinisi, i-AI isidumile ngoba Ikuvumela ukuthi wenze imisebenzi evamile, uhlaziye imininingwane emikhulu, futhi usekele ukuthathwa kwezinqumo. ngokunemba nangesivinini esingafinyelelwa yiqembu labantu. Kusukela ekuxilongweni kosizo lwezokwelapha kuya ekutholakaleni kusenesikhathi kokukhwabanisa kwezezimali, izimo zokusebenzisa ziphindaphindeka kuyo yonke imikhakha.

Kubalulekile ukuhlukanisa, nokho, phakathi kwalokho okuthiwa I-Artificial Intelligence Ekhawulelwe (leyo exazulula izinkinga ezithile: ukuhlukanisa izithombe, ukuhumusha imibhalo, ukutusa okuqukethwe…) kanye nokuqagela I-General Artificial Intelligenceongafisa ukucabanga nganoma yimuphi umsebenzi onjengomuntu. Okwamanje, esikusebenzisa esikalini esikhulu amasistimu akhawulelwe, nokho amamodeli ahlaba umxhwele njenge-ChatGPT, Bard, noma i-DALL-E angase abonakale.

Lawa mamodeli, ikakhulukazi amamodeli olimi, aklanyelwe uku bala impendulo okungenzeka kakhulu neyamukelekayo emphakathini Kunikezwe okokufaka, hhayi ukuqonda umhlaba noma babe nezinhloso zabo. Balingisa ukucabanga, kodwa ngaphansi kwe-hood kubalwa kwezibalo okuyinkimbinkimbi, hhayi ukwazi noma inhloso.

Isebenza kanjani i-AI: amasu abalulekile

Iningi lezinhlelo zokusebenza zesimanje ze-AI zincike kumabhulokhi wokwakha amathathu amakhulu wezobuchwepheshe: ukufunda ngomshini, ukufunda okujulile, nokucubungula ulimi lwemvelolapho kwengezwa umbono wekhompyutha wayo yonke into ehlobene nezithombe nevidiyo.

Ukufunda ngomshini noma ukufunda okuzenzakalelayo

Ukufunda ngomshini (ML) igatsha eligxile kulo yakha ama-algorithms akwazi ukufunda kudathangaphandle kokudinga ukuhlela ngokusobala umthetho ngamunye. Isistimu ithola amaphethini futhi, ngokusekelwe kuwo, yenza izibikezelo, izigaba, noma izincomo.

Ekufundeni okugadiwe, amamodeli aqeqeshwa nge idatha enelebula ebonisa impendulo efanele (isibonelo, ukuthi ngabe umsebenzi ubuwukukhwabanisa noma cha). Ngakolunye uhlangothi, ekufundeni okungagadiwe, i-algorithm ithola izakhiwo ezifihliwe namaqembu kudatha engenamalebula, ewusizo kakhulu amakhasimende esigaba, thola okudidayo, noma ukuziphatha kweqembu.

Isibonelo esijwayelekile embonini ukusetshenziswa kwe-ML ye hlaziya idatha yesikhathi sangempela evela kuzinzwa zasembonini (izinga lokushisa, ukudlidliza, imijikelezo yokusetshenziswa) futhi ulindele ukuthi umshini uzohluleka nini, ngaleyo ndlela unike amandla ukunakekelwa okubikezelwayo.

Ukufunda okujulile

Ukufunda okujulile isethi engaphansi yokufunda komshini esetshenziswayo amanethiwekhi emizwa okwenziwa anezendlalelo eziningi ukufunda ukumelwa okuyinkimbinkimbi kwedatha. Lawa manethiwekhi agqugquzelwa ukwakheka kobuchopho, nakuba ukusebenza kwawo kwangempela kwehluka kakhulu kusayensi yezinto eziphilayo.

Ngenxa yokufunda okujulile, izinhlelo zokusebenza ezifana ukubonwa kwezwi, ukubona kwekhompuyutha okuthuthukisiwe, amasistimu wokuncoma, noma ukushayela ukuzimelaNgokufinyelela kumadathasethi amakhulu namandla ekhompyutha, lawa manethiwekhi angathola ubudlelwano obucashile obekungenzeki ngaphambili ukubumodeli.

Emikhakheni efana nezimoto, isibonelo, ukufunda okujulile kusetshenziselwa ukuhumusha izithombe zekhamera kanye nedatha ye-radar ne-lidar yemoto ezimele, linganisa amabanga, bikezela imigwaqo bese unquma ukuhamba cishe ngokushesha.

Ukucubungula Ulimi Lwemvelo

Ukucutshungulwa kolimi lwemvelo (NLP) kuphathelene nokwenza amasistimu akwazi ukuqonda, ukuhlaziya nokukhiqiza ulimi lwesintukokubili umbhalo kanye nezwi. Lokhu kuhlanganisa imisebenzi efana nokuhlukanisa imibhalo, ukufingqa imibhalo, ukuhumusha, ukuphendula imibuzo, noma ukubamba izingxoxo.

Izinhlobo zamanje zezilimi ezinkulu (LLMs) ziyakwazi bona izakhiwo ze-syntactic kanye nama-nuances we-semantiki ngenani elikhulu lombhaloLokhu kuzivumela ukuthi zikhiqize izimpendulo ezingokwemvelo ezimangalisayo. Asetshenziswa kuma-chatbots, abasizi ababonakalayo, ukuhlaziywa kwemizwa, isevisi yamakhasimende, nokusekelwa kwangaphakathi ezinkampanini.

umbono wekhompyutha

Umbono womshini ugxile emshinini onika amandla chaza izithombe namavidiyo ngezinga lemininingwane efana neyomuntuUkubona izinto, ukubona ubuso, ukufunda izinhlamvu, ukulinganisa ubukhulu, noma ukuhlonza amaphutha engxenyeni yemboni ezinye zezibonelo.

Lobu buchwepheshe bube yingxenye ebalulekile ukulawulwa kwekhwalithi ezimbonini, izinhlelo zokugada, ukuxilonga kwezithombe zezokwelapha kanye nokuhlangenwe nakho okungokoqobo okungathandwa kwabathelisi esikubona, phakathi kokunye ukusetshenziswa okuningi.

Izinzuzo namathuba e-AI

Ezingeni lezomnotho nezenhlalo, i-AI ivula umnyango igagasi elisha lokuqamba okusha emikhiqizweni, ezinsizeni nasezinhlelweni zebhizinisiEYurophu, ngokwesibonelo, kuthathwa njengomshayeli obalulekile woguquko lwemikhakha efana nomnotho oluhlaza, i ubuchwepheshe bezimboniezolimo, ezempilo, ezokuvakasha noma imfashini.

Emhlabeni wamabhizinisi, elinye lamandla amakhulu e-AI... ukuzenzekela kwezinqubo eziphindaphindayo kanye nemisebenzi eyisicefeAmarobhothi aphathekayo nesofthiwe ehlakaniphile angakwazi ukuphatha ukusebenza kwemishini, ukuhlukaniswa kwezigameko, ukukhiqizwa kwezimpendulo ezijwayelekile, noma ukukhishwa kwedatha, okukhulula isikhathi sabantu semisebenzi yokudala kanye namasu.

Enye inzuzo eyinhloko ikhono lokwenza nciphisa iphutha lomuntu emisebenzini ephindaphindayo noma enembayo ephezuluKusukela ekutholeni ukukhubazeka okuncane ezingxenyeni ezisebenzisa amakhamera we-infrared ukufaka idatha ngokuzenzakalelayo, i-AI inciphisa amaphutha futhi ithuthukise ukulandeleka kwalokho okwenzekayo.

Ngesikhathi esifanayo, izinhlelo ezihlakaniphile zifaka isandla ukunemba okuphawulekayo ekuhlaziyeni imiqulu emikhulu yolwaziLokhu kukhiqiza izinkomba eziwusizo zokunquma ngokutshalwa kwezimali, ukulungisa izintengo, ukukala abasebenzi, noma izinqubo zokuklama kabusha. Leli khono lokuhlaziya liqinisa ikhwalithi yezinqumo zebhizinisi.

Kwezokunakekelwa kwempilo, i-AI isivele isetshenziselwa ukusekela ukuxilonga okusekelwe ezithombeni zezokwelapha, ukuklama ukwelashwa komuntu siqu, nokusheshisa ukutholakala kwezidakamizwaEbhange nakwezezimali, kuyasiza ukuthola ukukhwabanisa, ukuhlola ubungozi bezikweletu, nokwenza imisebenzi ezimakethe zamasheya ngokuzenzakalela.

Izinsizakalo zomphakathi nazo ziyazuza: Ukuthuthukisa ezokuthutha, ukuphathwa kwemfucuza okukhaliphile, ukonga amandla, imfundo yomuntu siqu, noma i-e-government esebenza kahle kakhulu Lena imigqa ecacile yesicelo. Ngaso leso sikhathi, abahlaziyi baveza ukuthi ukusetshenziswa okufanele kwe-AI kungaba nomthelela ekuqiniseni intando yeningi ngokusiza ukulwa ne-disinformation, ukuthola ukuhlaselwa kwe-cyberattack, kanye nokwenza ngcono ukucaca ezinqubweni zokuthenga.

I-Generative AI: ukweqa okusha ngamakhono… nasezingozini

Ukuvela kwe-AI ekhiqizayo kuphawule inguquko, njengoba lezi zinhlelo zikwazi dala okuqukethwe koqobo nokukholakalayoImibhalo yobuchwepheshe, izithombe, umsindo, ividiyo noma ikhodi, nezibonelo ezingokoqobo ezifana Uzenza kanjani izitika ze-WhatsApp nge-ChatGPT.

Kumabhizinisi, lokhu kuvula amathuba okuthi khiqiza imibhalo, imikhankaso yokumaketha, imibiko noma ama-prototypes ngokushesha okukhulukanye namaqembu asekelayo anabashayeli bamabhanoyi bokukhiqiza. Kodwa-ke, iphinde ibe nezinselele ezengeziwe mayelana nekhwalithi, impahla yengqondo, ukuphepha, nesithunzi.

Phakathi kwezingozi ezibonakala kakhulu ukukhiqizwa kwe ulwazi olungalungile noma "ama-hallucinations"Imodeli yakha idatha noma izinkomba ezibonakala zikholisa kodwa ezingahambisani neqiniso. Uma kungabuyekezwa kahle, lokhu kungaholela ezinqumweni eziyiphutha, ikakhulukazi ezindaweni ezibucayi njengokunakekelwa kwezempilo, umthetho, noma ezezimali.

Okungeziwe kulokhu umbuzo we ukuphepha kolwazi kanye nobumfihloUma imodeli inikezwa idatha ebucayi (amakhasimende, iziguli, isu lebhizinisi) ngaphandle kwezivikelo ezifanele, kunobungozi bokuvuza, ukungathobeli imithetho, noma ukuphinda kusetshenziswe ngendlela engafanele lolo lwazi.

Ngaphezu kwalokho, i-AI ekhiqizayo ingakhuthaza a ukuncika ngokweqile kwezobuchwepheshe, ngezindleko ezikhulayo ezihlotshaniswa nokusetshenziswa kwamamodeli amakhulu, futhi zingashintsha ngokweqile okuqukethwe neziphakamiso, zinciphise ukuhlukaniswa kwemikhiqizo uma zonke zisebenzisa amathuluzi afanayo ngaphandle kokuzenza zibe ngokwakho.

Izingozi ezihlukanisayo zobuhlakani bokwenziwa

Ngale kwesici sokukhiqiza, ukuthunyelwa okukhulu kwe-AI kuletha isethi ye Izingozi zesakhiwo ezithinta ukuqashwa, amalungelo ayisisekelo, ukuphepha kanye nokuzinza kwezomnothoUkuziqonda kubalulekile ukuze ukwazi ukuzilawula.

Ukususwa kwemisebenzi kanye negebe lamakhono

I-automation eqhutshwa yi-AI inomphumela ongaqondakali emsebenzini: Iqeda izikhundla ezithile, iguqule ezinye, futhi idale ubungcweti obusha.Imisebenzi yokuphatha, umsebenzi wasehhovisi ojwayeleke kakhulu, noma imisebenzi yokulawula eyisisekelo isengozini kakhulu.

Ngaphandle kwenqubomgomo ecacile ye ukuqeqeshwa kabusha kochwepheshe kanye nokubuyekezwa kwamakhonoAbantu abaningi bangase basale ngemuva emakethe yezemisebenzi, bandise ukungalingani okukhona. Ohlelweni lwezomnotho oluhleliwe, lolu shintsho lungahlelwa kangcono; ku-capitalism yamanje, imvamisa ihumusha ukungazinzi kanye nokungathembeki ngenkathi indwangu ekhiqizayo ilungiswa.

I-algorithmic biases kanye nokubandlulula

Ama-algorithms afunda kudatha yomlando kaningi Zibonisa ukucwasa okukhona, ukungalingani, kanye nezakhiwo zamandlaUma lokhu kuchema kungalungiswa, amasistimu akhiqiza futhi futhi awakhulise ezinqubweni zokuqasha, ekugunyazweni kwemali mboleko, ekuphathweni komshwalense, noma ngisho ohlelweni lwezokwahlulela.

Sesiyawazi amacala amamodeli okukhetha abasebenzi lawo Bajezisa abesifazane ngendlela ehlelekile ngenxa yokuthi bebeqeqeshwe ngokusebenzisa izifanekiso ikakhulukazi zabesilisa, noma amathuluzi okuhlola ubungozi bobugebengu acwasa ngokwebala. Ukunciphisa lobu bungozi kudinga ukucwaningwa kwamabhuku okuzimele, amaqembu okuthuthukisa ahlukahlukene, kanye nedatha yokuqeqeshwa elinganiselwe nebuyekeziwe.

Ubumfihlo, ukubhekwa kanye namalungelo ayisisekelo

I-AI isebenza kangcono uma inedatha eyengeziwe, ekhuthaza a iqoqo elikhulu lolwazi lomuntu siquAmasistimu okubona ubuso, ukulandelela ku-inthanethi, ukudalwa kwamaphrofayela anemininingwane yokuziphatha, noma ukuhlaziya inkundla yezokuxhumana kungaphula ubumfihlo futhi, ezandleni ezingalungile, kube amathuluzi okuqapha.

Umthetho waseYurophu (kuhlanganise nomthetho we-AI ozayo) ugxile ekunciphiseni ukusetshenziswa okuyingozi enkulu, njengokuthi ukuhlonza i-biometric enkulu noma ukwenza izinqumo okuzenzakalelayo ngaphandle kokuthi kube nokwenzeka kokungenelela komuntuNoma kunjalo, ingozi yokuhlukunyezwa isekhona, ikakhulukazi ezimeni lapho ukugadwa okuncane kwentando yeningi.

Ukuphepha, ukuhlasela kwe-inthanethi nokusetshenziswa okunonya

I-AI iyinkemba esika nhlangothi zombili: ingenza lukhulu ukuvimbela kangcono, ukuthola kanye nokusabela ezinsongweni ze-cybersecurityIngase futhi ithuthukise amakhono abahlaseli. Ukuzenzakalela imikhankaso yobugebengu bokweba imininingwane ebucayi, ukukhiqiza uhlelo olungayilungele ikhompuyutha oluyinkimbinkimbi, noma ukweqa amasistimu okuthola kusetshenziswa izibonelo zezitha ezinye zezingozi.

Emkhakheni wezempi kanye nezokuphepha kwezwe, umthelela we izikhali ezizimele, izinhlelo zokuzivikela ezizenzakalelayo, kanye nempi ye-cyber esekelwa yi-AIUmphakathi wamazwe ngamazwe usekude nokuvumelana okuqinile ngemikhawulo yezimiso zokuziphatha nezomthetho yalezi zicelo.

Ukukhohlisa kolwazi kanye nama-deepfakes

Nge-generative AI kulula ukuyidala amavidiyo angamanga kodwa akholeka kakhulu, ama-audios nezithombeLawa aziwa ngokuthi ama-deepfakes. Lezi zingcezu zingasetshenziselwa ukuqola, ukukhohlisa kwezepolitiki, ukuhlaselwa kwesithunzi, noma imikhankaso eminingi yokubulala abantu.

Ngesikhathi esifanayo, ama-algorithms okwenza okuqukethwe kube ngokwakho ezinkundleni zokuxhumana angakwazi kuvala abasebenzisi emakamelweni e-echoLokhu kuqinisa imibono eyeqisayo futhi kuphinde kuhlukanise umkhakha womphakathi. I-AI ngaleyo ndlela iba isikhulisi se-dynamics ekhona, enokufinyelela okunzima ukuyilawula.

Ukungabikezeli nokuba yinkimbinkimbi kwezinhlelo

Njengoba amamodeli eba yinkimbinkimbi futhi ezimela, Ukuziphatha kwabo kuya ngokuya kuncipha obala, nakubadali babo.Lokhu kwenza kube nzima ukuchaza ukuthi kungani isinqumo esithile senziwe, esibalulekile ezindaweni ezilawulwayo.

Uma imisebenzi ebalulekile (ukunakekelwa kwezempilo, ingqalasizinda, ubulungiswa, ezokuthutha) ijutshwa ezinhlelweni ezingacacile, ingozi ukwehluleka kwesistimu, imiphumela ye-cascading, nokulahlekelwa ukulawula komuntuNgakho-ke ukubaluleka kokuklama amamodeli achazekayo, anokulandeleka kanye namandla okungenelela mathupha.

Izinselelo zokuziphatha, zokulawula kanye nezikweletu

Ukukhuphuka kwe-AI kuphakamise izingqinamba eziyinkimbinkimbi: Ubani onesibopho uma i-algorithm idala ukulimala? Ubulungisa nokungafihli kuqinisekiswa kanjani? Imiphi imingcele okufanele ibekwe? Imithetho yendabuko iyasalela emuva kwejubane lokuqanjwa kabusha, futhi lokhu kudala izintuba zomthetho.

I-European Union ikhuthaza uMthetho we-AI ukuthi ihlukanisa izinhlelo zokusebenza ngokwamazinga engcuphe futhi isungula izidingo eziqinile zemikhakha enomthelela omkhulu (ezempilo, ezokuthutha, ukuqashwa, ubulungiswa, ukuphepha). Izibopho eziphathelene nokubhalwa kwemibhalo, ukucwaningwa kwamabhuku, ukuphathwa kwedatha yokuqeqesha, nokwengamela komuntu zibonwa kusengaphambili.

Olunye udaba olubucayi kakhulu yilokhu icala uma kwenzeka umonakaloUma imoto ezishayelayo idala ingozi noma isistimu ezenzakalelayo yenqaba imali ebolekiwe ngokungafanele, ingabe umkhiqizi wezingxenyekazi zekhompuyutha, umthuthukisi oyimodeli, inkampani eyisebenzisayo, noma umsebenzisi wokugcina unesibopho? Uhlelo oluxega kakhulu lungadikibalisa ikhwalithi; eyodwa eqine kakhulu ingakhinyabeza ukusungulwa.

Ngokuhambisanayo, izimiso zokuziphatha ze-AI zifuna ukwedlula ukuhambisana nomthetho. Izinhlangano, onjiniyela, nabalawuli kumele bayavumelana ngezimiso zobulungisa, ukungabandlululi, ukuhlonipha ukuzimela kanye nokunciphisa ukulimalaFuthi lokho kudinga nakanjani inkulumo-mpikiswano yomphakathi enolwazi, engahlanganisi izinkampani nohulumeni kuphela, kodwa nezakhamuzi namaqembu athintekayo.

Ukubusa kwe-AI ezinhlanganweni: kusuka ezinxushunxushwini kuya kuhlaka olufanayo

Ezinkampanini eziningi, ukwamukelwa kwe-AI sekuqalile ngokwethukela: Umnyango ngamunye uhlola imodeli yawo noma uhlanganisa isevisi yangaphandle ngokwawo.Ukumaketha kusebenzisa ijeneretha yombhalo, Imisebenzi iqeqesha isigaba sezehlakalo, izivivinyo Zabasebenzi ngamathuluzi okuhlola i-CV...

Le ndlela "yemodeli-kuya-imodeli" inenzuzo yejubane, kodwa ngesikhathi esimaphakathi iyabangela ukuhlukaniswa kwezobuchwepheshe, ukuphindaphinda kwemizamo, nokuntuleka kokulawulaIzixazululo eziningi ezihlukene ziyavela, ngaphandle kwesu elivamile, ukulandeleka, noma izindleko okwabelwana ngazo namamethrikhi yenani.

Izingozi ziyanqwabelana: Akwaziwa ukuthi mangaki amamodeli akhiqizwayo, iyiphi idatha ayisebenzisayo, noma ubani owagcinayo.Amarekhodi ezinqumo awaphelele, avimbela ukuhlolwa kwangaphakathi noma kokulawula. Futhi umthethosivivinywa wezinsizakalo zamafu ulokhu ukhula ngaphandle kokuthi kube nombono ocacile wembuyiselo.

Okunye wukudlulela ku-a uhlaka lokubusa olumaphakathi lokho kuvumela ukuhlolwa okuqhubekayo, kodwa kusisekelo esifanayo: amakhathalogi amamodeli, izinqubomgomo zedatha, izilawuli zokufinyelela, amathuluzi okuqapha okwabiwe, ukulandeleka, nokuhlola ubungozi. Izakhiwo eziyisipesheli, ezifana nezinkundla ze-AI zebhizinisi, zifuna ngokunembile ukuhlanganisa ubuhlakani bendawo nokulawula umhlaba wonke.

Ngaphandle kwalesi siyalo, i-AI iba umthombo we isikweletu sobuchwepheshe, ukungaqiniseki kwezomthetho kanye nokweqa kwezindlekoNgayo, nokho, iba ngolunye ungqimba lwamasu, ezingeni lokuphepha ku-inthanethi noma ukuphathwa kwedatha, ekwazi ukuhlinzeka ngezinzuzo ezisimeme zokuncintisana.

Izinhlelo zokusebenza ze-AI ekulawuleni ubungozi bebhizinisi

Ngokuxakayo, izinsongo eziningi ezihlobene ne-AI zingancishiswa usebenzisa i-AI ngokwayo njengozakwethu ukuphatha ubungozi ngaphakathi kwezinhlangano. Ezindaweni ezinjengezingozi zokusebenza, ukuthobela imithetho, ukulwa nokushushumbiswa kwemali, kanye nokuvikeleka kolwazi, isivele isetshenziswa ngemiphumela emihle.

Ngakolunye uhlangothi, ama-algorithms avumela hlaziya amanani amakhulu edatha yangaphakathi neyangaphandle ngesikhathi esifushane kakhulu, ukuthola amaphethini okuziphatha okuxakile, izitayela ezikhathazayo, noma inhlanganisela yezinto ezivame ukwandulela izehlakalo ezifanele.

Okunye okubalulekile ikakhulukazi amamodeli abikezelayoLawa mathuluzi asiza ukulindela ukwenziwa kwezinto ezithile ubungozi ngokusekelwe kumathrendi omlando. Lokhu kuvumela ukuhlela izinyathelo zokuvimbela, ukuqinisa izilawuli, noma ukulungisa ukufakwa komshwalense.

Ekuvimbeleni ukukhwabanisa, i-AI ingaqapha ngesikhathi sangempela ukuthengiselana, ukufinyelela kwesistimu, nokunyakaza kwezezimaliukuhlonza ukuthengiselana okusolisayo okubalekela iso lomuntu. Ngokufanayo, ekulawuleni ubungozi bokuthobela, ama-algorithms okuhlukanisa asiza ukuhlukaniswa ngezigaba kwamakhasimende, imikhiqizo, noma izindawo ngokuya ngephrofayili yawo yokuchayeka.

Konke lokhu kudinga, nokho, ikhwalithi, idatha elawulwa kahle kanye nemeleNgaphandle kwesisekelo solwazi esiqinile, amamodeli akhiqiza imibono engamanga, ukuchema, nezinqumo ezingalungile. Ubuchwepheshe abuyithathi indawo yokwahlulela kochwepheshe, kodwa kunalokho buhambisana nakho futhi buwenza busebenze kahle.

Eminyakeni yamuva nje, izixazululo ezithile ezisekelwe ku-AI yokukhiqiza nazo ziye zavela ezisebenza njenge amakhophi okulawula ubungoziLawa mathuluzi asiza ukukhomba, ukuchaza, nokuhlola izinsongo ngokusekelwe kumithetho esebenzayo, imboni, nezinqubo zenkampani ngayinye. Uma kuhlanganiswe ezinkundleni eziqinile ezinezilawuli ezifanele, laba basizi bandisa kakhulu umkhiqizo wamaqembu ayingozi.

Inhlanganisela yakho konke okungenhla kupenda isithombe esingacacile: Ubuhlakani bokwenziwa bunamandla amakhulu okuthuthukisa indlela esikhiqiza ngayo, esinquma ngayo, nesiphila ngayo, kodwa futhi kukhulisa ukungalingani, amaphutha, nokungqubuzana uma kusetshenziswa ngaphandle kwemibandela noma ukulawula.Ukuthola ibhalansi kuhilela ukutshala imali ekuqeqesheni, ukuqinisa umthethonqubo, ukuhambisa izinhlaka zokubusa eziqinile, nokuhlala njalo abantu bephakathi kwezinqumo, besebenzisa i-AI njengethuluzi hhayi njengesiphetho ngokwayo.