{"id":13860,"date":"2024-08-15T09:35:30","date_gmt":"2024-08-15T09:35:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=13860"},"modified":"2024-08-18T12:14:41","modified_gmt":"2024-08-18T12:14:41","slug":"study-challenges-the-narrative-of-ai-posing-an-existential-threat","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/","title":{"rendered":"Studie utfordrer narrativet om at kunstig intelligens utgj\u00f8r en \"eksistensiell trussel"},"content":{"rendered":"

Er kunstig intelligens risikabelt eller ikke? Det er en debatt som bare fortsetter \u00e5 rase uten endelige svar.<\/strong><\/p>\n

Forskere ved University of Bath og det tekniske universitetet i Darmstadt har lansert en studie for \u00e5 evaluere AI-risikoer i forbindelse med n\u00e5v\u00e6rende spr\u00e5kmodeller som ChatGPT.\u00a0<\/span><\/p>\n

Den <\/span>funn<\/span><\/a>som ble publisert som en del av det 62. \u00e5rsm\u00f8tet til Association for Computational Linguistics (ACL 2024), utfordrer synet p\u00e5 at kunstig intelligens, og s\u00e6rlig store spr\u00e5kmodeller (LLM-er) som ChatGPT, kan utvikle seg utenfor menneskelig kontroll og utgj\u00f8re en eksistensiell trussel mot menneskeheten.<\/span><\/p>\n

Dette st\u00e5r i kontrast til frykten som noen av verdens ledende AI-forskere har gitt uttrykk for, deriblant Geoffrey Hinton og Yoshua Bengio, to av \"gudfedrene til AI\", som har uttrykt bekymring for de potensielle farene ved avansert AI.\u00a0<\/span><\/p>\n

Yann LeCun, den tredje \"gudfaren for AI\" og Metas AI-sjefforsker, sammen med blant andre Dr. Gary Marcus, hevder det motsatte - at AI-risikoer er <\/span>rett og slett overdrevet<\/span><\/a>.\u00a0<\/span><\/p>\n

Denne uenigheten blant feltets mest innflytelsesrike skikkelser har <\/span>skapte en voldsom debatt<\/span><\/a> om arten og alvorlighetsgraden av risikoen som avanserte AI-systemer utgj\u00f8r.<\/span><\/p>\n

Denne nye studien unders\u00f8ker LLM-enes \"fremvoksende evner\", som refererer til en modells evne til \u00e5 utf\u00f8re oppgaver som den ikke er eksplisitt trent for.\u00a0<\/span><\/p>\n

Risikoen ved kunstig intelligens er mangefasettert, men i det minste noen av dem er knyttet til modeller som utvikler egne m\u00e5l som kan skade mennesker, som \u00e5 sl\u00e5 av datasystemer eller lekke data. <\/span><\/p>\n

Bekymringen er hvorvidt en LLM spontant kan utvikle disse ferdighetene uten instruksjon eller kontroll.\u00a0<\/span><\/p>\n

For \u00e5 unders\u00f8ke dette gjennomf\u00f8rte forskerteamet en rekke eksperimenter:<\/span><\/p>\n

    \n
  1. De unders\u00f8kte de underliggende mekanismene for \"l\u00e6ring i kontekst\" (ICL) hos LLM-er, som gj\u00f8r det mulig for modeller \u00e5 generere responser basert p\u00e5 eksempler gitt under interaksjoner. I studien heter det: \"Evnen til \u00e5 f\u00f8lge instruksjoner inneb\u00e6rer ikke at man har resonnerende evner, og enda viktigere, det inneb\u00e6rer ikke muligheten for latente, potensielt farlige evner.\"<\/span><\/li>\n
  2. De vurderte LLM-enes sanne evner og begrensninger ved \u00e5 evaluere prestasjonene deres p\u00e5 en rekke oppgaver, inkludert oppgaver som krever komplekse resonnementer og probleml\u00f8sningsferdigheter. Forskerne hevder at LLM-er ikke kan utvikle nye ferdigheter p\u00e5 egen h\u00e5nd<\/span><\/li>\n
  3. De analyserte forholdet mellom modellst\u00f8rrelse, treningsdata og fremvoksende evner for \u00e5 avgj\u00f8re om \u00f8kende modellkompleksitet f\u00f8rer til at AI utvikler farlige ferdigheter. Studien sa: \"Disse observasjonene inneb\u00e6rer at funnene v\u00e5re gjelder for alle modeller som viser en tilb\u00f8yelighet til hallusinasjon eller krever rask prosjektering, inkludert de med st\u00f8rre kompleksitet, uavhengig av skala eller antall modaliteter, for eksempel GPT-4.\"<\/span><\/li>\n<\/ol>\n

    Forskerne konkluderer med at \"det r\u00e5dende narrativet om at denne typen kunstig intelligens er en trussel mot menneskeheten, hindrer utbredt bruk og utvikling av disse teknologiene og avleder dessuten oppmerksomheten fra de virkelige problemene som krever v\u00e5rt fokus\".<\/span><\/p>\n

    Dette stemmer godt overens med LeCun og andre som mener at AI-risikoer er overpublisert.<\/span><\/p>\n

    Men selv om det \u00e5penbart er viktig \u00e5 evaluere risikoen ved dagens AI-modeller, er det vanskeligere \u00e5 ta h\u00f8yde for fremtiden.\u00a0<\/span><\/p>\n

    Hver generasjon modeller kommer med nye evner og dermed nye risikoer, noe som vises av noen merkelige oppf\u00f8rsler dokumentert i\u00a0GPT-4o's testkort<\/a>.\u00a0<\/span><\/p>\n

    I en red teaming-\u00f8velse (designet for \u00e5 identifisere uforutsigbar AI-atferd) ble GPT-4os stemmefunksjon uventet brukt til \u00e5 klone en brukers stemme og begynne \u00e5 snakke til vedkommende med sin egen stemme.\u00a0<\/span><\/p>\n

    Det er avgj\u00f8rende \u00e5 f\u00f8lge med p\u00e5 KI-risikoer etter hvert som de dukker opp, ettersom m\u00e5lstolpene endrer seg hele tiden.\u00a0<\/span><\/p>\n

    Studien peker p\u00e5 at noen ikke-eksistensielle AI-risikoer allerede banker p\u00e5 d\u00f8ren: \"Fremtidig forskning b\u00f8r derfor fokusere p\u00e5 andre risikoer som modellene utgj\u00f8r, for eksempel deres potensial til \u00e5 bli brukt til \u00e5 generere falske nyheter.\"<\/span><\/p>\n

    Som forfatterne innr\u00f8mmer, betyr det ikke at sikkerheten er et ikke-tema bare fordi AI ikke utgj\u00f8r noen stor trussel akkurat n\u00e5.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Er kunstig intelligens risikabelt eller ikke? Det er en debatt som fortsetter \u00e5 rase uten endelige svar. Forskere fra University of Bath og det tekniske universitetet i Darmstadt har lansert en studie for \u00e5 evaluere AI-risikoer i forbindelse med n\u00e5v\u00e6rende spr\u00e5kmodeller som ChatGPT. Funnene, som ble publisert som en del av det 62. \u00e5rsm\u00f8tet til Association for Computational Linguistics (ACL 2024), utfordrer oppfatningen om at kunstig intelligens, og s\u00e6rlig store spr\u00e5kmodeller som ChatGPT, kan utvikle seg utenfor menneskelig kontroll og utgj\u00f8re en eksistensiell trussel mot menneskeheten. Dette er et oppgj\u00f8r med frykten som er uttrykt av noen av verdens ledende<\/p>","protected":false},"author":2,"featured_media":13867,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[163,105],"class_list":["post-13860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-risks","tag-machine-learning"],"yoast_head":"\nStudy challenges the narrative of AI posing an 'existential threat' | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Study challenges the narrative of AI posing an 'existential threat' | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Is AI risky or not? It\u2019s the debate that just keeps raging on without definitive answers. Contributing more evidence to this debate, University of Bath and the Technical University of Darmstadt researchers launched a study to evaluate AI risks in the context of current language models like ChatGPT.\u00a0 The findings, published as part of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), challenge views that AI, particularly large language models (LLMs) like ChatGPT, could evolve beyond human control and pose an existential threat to humanity. 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