Kwenzekeni
I-Help Net Security ibika ukuthi abaphathi bezingcuphe, abacwaningi mabhuku kanye nezikhulu eziphezulu ezinkampanini ezingama-316 babeka ukutholwa kwe-AI kobungozi be-inthanethi njengosongo lomthelela omkhulu kuhlolo lwakamuva lwekota luka-Gartner. Abaphendulile bathe ubungozi bungase bukhiqize imiphumela ebonakalayo esikhathini esingaphansi kweminyaka emibili, nakuba inhlolovo ilinganise imibono kunokuhlasela okubonisiwe noma ukuzivikela.
I-Help Net Security ibika ukuthi u-Gartner ucele abaphathi bezingcuphe, abacwaningi mabhuku kanye nezikhulu eziphezulu ezinkampanini ezingu-316 ukuthi ziklelise izinsongo ezingu-20 ezisafufusa izinhlangano zabo ebezingakahlangani nazo. Ocwaningweni olwenziwe ngo-Ephreli noMeyi, ukutholwa kwe-AI kobungozi be-inthanethi kubekwe kuqala kumthelela ongaba khona. I-Help Net Security ithi lokhu kube inguquko ebukhali kusukela kunhlolovo yekota efanayo ezinyangeni ezintathu ezedlule, lapho ubungozi bobuqotho bolwazi bubekwe kuqala futhi ukutholwa kokuba sengozini kwe-AI kwakungaphandle kwezinhlanu eziphezulu. Umthombo awunikezi uhlu lwemibuzo oluphelele, ubunikazi bezinkampani ezibamba iqhaza noma indlela ye-Gartner eshicilelwe ngokuzimele ezintweni ezinikeziwe.
I-Help Net Security ibika ukuthi abaphenduli banikeze ubungozi bokuthola ubungozi isilinganiso sesilinganiso sesikhathi sohlaka esingu-1.92. Isitolo sichaza ukuthi isikali sisuka ku-1, okusho umthelela obonakalayo esikhathini esingaphansi konyaka, siye ku-2, okusho umthelela onyakeni owodwa kuya kwemibili. Amaphesenti angamashumi ayisikhombisa nesithupha abaphendulile abeke ubungozi kwabaphezulu abayi-10. Ingozi ikleliswe kuqala esifundeni ngasinye kwezine ezibalwe yisikhungo: 78% eYurophu, 78% e-Asia-Pacific, 75% emazweni aseMelika, kanye nama-70% eMpumalanga Ephakathi nase-Afrika. Amabhange, amasevisi ezezimali kanye nabaphendula umshwalense bayikhethe ku-78%, uma kuqhathaniswa no-74% phakathi kwabanye abaphendulayo.
Umthombo uhlanganisa ukuguquguquka kokuthuthuka okubili. I-Help Net Security ibika ukuthi amasistimu e-AI angakwazi ukuskena amaphutha angaziwa ngaphambilini ngevolumu amaqembu ajwayele ukuchibiyela angeke akwazi ukumunca, kuyilapho isikhathi esiphakathi kokuthola iphutha nokukhiqiza ikhodi yokuhlasela esebenzayo sesisifushane kakhulu. Iphinde ibike ukuthi amamodeli e-AI athuthukile ekukhiqizeni okusebenzayo futhi abize i-Anthropic's Project Glasswing kanye ne-OpenAI's Daybreak njengemizamo yokuzivikela ehloselwe ukuhlonza nokuhlanganisa ikhodi esebenzisekayo. Lezo zimangalo zidalulwe embikweni we-Help Net Security; umthombo onikeziwe awubonisi ngokuzimela amanani empumelelo yomhlaba wangempela wamamodeli, inani lobungozi obuhilelekile noma ukuthi isigameko esithile sibangelwe yini ngenxa yaleli khono.
Inhlolovo ikhiqize umehluko obonakalayo ekulungiseleleni. I-Help Net Security ibika ukuthi ukutholwa kokuba sengozini kwe-AI kubekwe kuqala hhayi nje ngomthelela kodwa futhi nasekulungiseleleni ukuzihlola kwabaphendulayo, kuyilapho kukleliswa isithathu ngokuba seduze. Isitolo sithi ukulungela kukalwe esikalini samaphuzu amahlanu, okunamaki aphezulu kakhulu akhombisa ukuthi ingozi kuxoxwe ngayo ngenkuthalo nokuthi izinyathelo bezikhona. Umbiko uphinde wenze kucace ukuthi inhlolovo ayizange izivivinye lezo zinyathelo ngokumelene namandla aphushele ubungozi phezulu kwezinga lomthelela. Lokhu kusho ukuthi umphumela wokulungela uchaza ukuzethemba nokuhlelwa okubikiwe, hhayi ukuqina okuqinisekisiwe.
Imininingwane yomthombo: helpnetsecurity.com ↗
Kungani kubalulekile
Okutholakele kukhombisa ukukhathazeka ngokuthi i-AI ingase yenyuse kokubili umthamo wobungozi obutholiwe kanye nesivinini lapho abahlaseli bengakwazi ukubenza benze izinto ezisebenzayo. Lokho kungase kushiye izinhlangano zinokusilela emuva kokulungisa okukhula ngokushesha kunokuba amaqembu ezokuphepha akwazi ukukususa, ikakhulukazi lapho amasistimu ezinkampani zangaphandle nengqalasizinda ehlanganisiwe ye-AI okunzima ukuyihlola.
Ukukhathazeka okungokoqobo igebe elikhulayo phakathi kokutholakala kobungozi kanye nokulungiswa. I-Help Net Security ibika ukuthi abavikeli bangase bazuze ifa lokusalela emuva kobungozi obungavaliwe obukhula ngokushesha kunalokho obungasulwa. Uma ukuskena okusizwa yi-AI kunweba inani lezinto ezitholakele kuyilapho ukuxhashazwa okusizwa yi-AI kwehlisa izindleko zokuzihlasela, izinhlangano zingase zibhekane nesikhathi esincane sokuhlola, ukubeka phambili nokulungisa amaphutha. Umthombo awuqinisekisi ukuthi le phethini isivele yenzeka ngenani elilinganisiwe lomkhakha wonke, kodwa wethula ithemba njengesizathu esiyinhloko abaphendula bebeka ubungozi phezulu kangaka.
Ubungozi bungase budlulele ngale komthwalo ojwayelekile wokuphatha iziqephu. I-Help Net Security ibika ukuthi ukuhlanganiswa kwe-AI kwenze amanye amasistimu kwaba nzima ukubona futhi kuxhumanisa ukutholakala kokuba sengozini okusheshayo nokuchayeka okuvela eceleni, ubungozi bokuqhubeka kwebhizinisi kanye nokudalulwa kwezomthetho. Ngokwezinto ezibonakalayo, inhlangano ingase idinge ukunquma hhayi kuphela ukuthi ikhodi yayo isengozini yini kodwa nokuthi ingabe abahlinzeki, izinsizakalo ezisingathwayo kanye nezinhlelo ezihlanganisiwe ze-AI zithintekile yini. I-athikili enikeziwe ayibonisi ukwephulwa kwemithetho ethile, isisulu, umkhiqizo ongasebenziseka noma isigameko esiqinisekisiwe, ngakho le miphumela kufanele ithathwe njengezimo eziyingozi kunemiphumela ebhaliwe.
Umthombo ucaphuna u-Kevin Mercado, umhlaziyi omkhulu we-Gartner's Risk & Audit Practice, ethi i-AI yenza ukutholakala kobungozi kusebenze kahle futhi kufinyeleleke, kuyilapho izindlela zendabuko zokulawula ubungozi zingase zibe nzima ukugcina ijubane. Uyaxwayisa, ngokusho kwe-Help Net Security, ukuthi ngaphandle kwentuthuko ehambisanayo ekubuseni, ekusebenzeni kwezokuphepha nasekulungiseni, ukutholakala okuqhutshwa yi-AI kungadlula ukuzivikela kwenhlangano futhi kukhulise amathuba okuba nezigameko ezimbi kakhulu ze-cyber kanye nokuphazamiseka kokusebenza. Lokhu ukuhlola okuchasiselwe kochwepheshe, hhayi isibikezelo sezulu esiqinisekiswe ngokuzimele.
I-Help Net Security ibika ukuthi ukutholwa kokuba sengozini kwe-AI akuzange kuvele phakathi kwabaphenduli bengcuphe abahlanu abahlobene nokukhuphuka okukhulu kwebhizinisi. Lezo ezinhlanu kwakuwukufuduka kokuncintisana okuqhutshwa yi-AI, i-AI ye-agent, ukuguguleka kwamakhono aqhutshwa yi-AI, ukulawulwa kwempahla ye-AI kanye nokuhoxiswa kwezimali zase-U.S. Ukungafani kusemqoka ngoba kuphakamisa ukuthi abaphendulayo babheke ukutholwa kokuba sengozini ngokuyinhloko njengomthwalo ovikelayo kunokuba kube yikhono elidala inani eliqondile lebhizinisi. Izinto ezinikeziwe azibonisi ukuthi abaphenduli bazichaza kanjani lezo zigaba noma ukuthi bahlaziye izinzuzo nezingozi besebenzisa izinyathelo ezifanayo.
I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela
Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.
crm_get_transaction(id='4092').Why can ethical evaluation not be reduced to one model score?
Ongakubuka ngokulandelayo
Ukuhlolwa okubalulekile ukuthi ukuzilungiselela kwezinhlangano ezizibikayo kuhumusha ekutholakaleni okusheshayo, ukuqinisekiswa kanye nokulungiswa. I-Help Net Security ibika ukuthi inhlolovo ayizange ihlole izilawuli zabaphendulayo ngokumelene namandla e-AI anikwe amandla, okushiya imibuzo evulekile mayelana nokulungela kwangempela, ikhwalithi yedatha eyisisekelo kanye nokuthi ukuxhashazwa okukhiqizwa i-AI kaningi kusebenza kangakanani ezindaweni zangempela.
Inkomba yokuqala kuzoba ukuthi izinhlangano zingasifinyeza yini isikhathi kusukela ekutholeni ubungozi kuye ekuqinisekiseni, ekubekeni eqhulwini nasekukulungiseni. I-Help Net Security ibika ukuthi inhlolovo ikhomba ekulungisweni okusheshayo nokuzenzakalelayo, kanye nokuhlolwa kabusha komthelela wengcuphe ye-inthanethi, isifiso sobungozi sokuchayeka okuqhubekayo kanye nesikhathi esiphezulu esamukelekile sokushiya ubungozi bungakashicilelwa. Lezi yizincomo ezibikwe yisikhungo, akubona ubufakazi bokuthi inhlangano ethile izamukele.
Ukuqinisekiswa komthengisi nokuthengiswayo kuzoba elinye iphuzu lokucindezela. I-Help Net Security ibika ukuthi izincomo zenhlolovo zifaka phakathi ukuqinisekiswa okuqinile kokuphepha okuvela kubathengisi, ikakhulukazi mayelana nokuthi amasistimu angahle abe sengozini yini. Lokho kungadinga ukuthi izinhlangano zithole ubufakazi obengeziwe obufika ngesikhathi nobuthembekile mayelana nokuncika ezingasebenzi ngqo. Umthombo awucacisi ukuthi yimaphi amazinga okuqinisekisa, izindlela zokucwaningwa kwamabhuku noma izidingo zenkontileka ezituswa uGartner, ngakho ukusebenza kahle kwale ndlela kuhlala kungaziwa.
Umbuzo wesibili ukuthi ikhodi yokuxhaphaza ekhiqizwe yi-AI isebenza ngokuthembekile ngaphandle kokuhlolwa okulawulwayo. I-athikili ibika ukuthi isinyathelo sokubhala ukuxhaphaza sesicishe sangqubuzana nokuthi amamodeli e-AI athuthukile ekukhiqizeni izinto zokusebenza, kodwa alinikezi uphawu lokulinganisa, ucwaningo lwecala, irekhodi lesigameko noma ukuhlolwa okuphindaphindwe ngokuzimele. Ngakho-ke abafundi kufanele bahlukanise phakathi kokuthuthukiswa kwamakhono okubikiwe kanye nomthelela obonisiwe wokusebenza. Inhlolovo ikala lokho abaphendulile abakulindele nabakwesabayo, hhayi ukuthi abahlaseli basebenzise kangaki amasistimu anjalo ngempumelelo.
Okokugcina, indida ebonakalayo yokulungela idinga ukucutshungulwa. Abaphenduli balinganise ubungozi kuqala ngomthelela futhi kuqala ngokulungela, nokho i-Help Net Security ithi inhlolovo ayizange ihlole izilawuli zabo ngokutholwa noma ukuxhashazwa okunikwe amandla yi-AI. Ubufakazi besikhathi esizayo kufanele bufake izikhathi zokulungisa ezibonwayo, izilinganiso zokuthi amanga, ukuchayeka kwezinkampani zangaphandle, imizamo yokuxhaphaza ephumelelayo kanye nokuthi amaqembu onogada angakwazi yini ukugcina ukumbozwa njengoba ivolumu yokutholwa ikhuphuka. Kuze kube yilapho izilinganiso zitholakala, umphumela we-Gartner uqondwa kangcono njengesignali ebalulekile yokukhathazeka kwabaphathi kunobufakazi bokuthi ukutholakala kokuba sengozini okuqhutshwa yi-AI sekuvele kukhiqize igagasi elibanzi lezigameko.