{"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\/sv\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/","title":{"rendered":"Studie utmanar narrativet om att AI utg\u00f6r ett \"existentiellt hot"},"content":{"rendered":"

\u00c4r AI riskabelt eller inte? Det \u00e4r en debatt som bara forts\u00e4tter att rasa utan definitiva svar.<\/strong><\/p>\n

Forskare fr\u00e5n University of Bath och Technical University of Darmstadt har bidragit med ytterligare bevis till denna debatt genom att lansera en studie f\u00f6r att utv\u00e4rdera AI-risker i samband med nuvarande spr\u00e5kmodeller som ChatGPT.\u00a0<\/span><\/p>\n

Den <\/span>resultat<\/span><\/a>som publicerades som en del av det 62:a \u00e5rsm\u00f6tet f\u00f6r Association for Computational Linguistics (ACL 2024), utmanar \u00e5sikter om att AI, s\u00e4rskilt stora spr\u00e5kmodeller (LLM) som ChatGPT, kan utvecklas bortom m\u00e4nsklig kontroll och utg\u00f6ra ett existentiellt hot mot m\u00e4nskligheten.<\/span><\/p>\n

Detta g\u00e5r stick i st\u00e4v med de farh\u00e5gor som uttryckts av n\u00e5gra av v\u00e4rldens ledande AI-forskare, d\u00e4ribland Geoffrey Hinton och Yoshua Bengio, tv\u00e5 av \"AI:s gudf\u00e4der\" som uttryckt oro f\u00f6r de potentiella farorna med avancerad AI.\u00a0<\/span><\/p>\n

Yann LeCun, den tredje \"gudfadern till AI\" och Metas chefsforskare inom AI, tillsammans med Dr. Gary Marcus och andra, argumenterar f\u00f6r motsatsen - att AI-risker \u00e4r <\/span>helt enkelt \u00f6verbl\u00e5st<\/span><\/a>.\u00a0<\/span><\/p>\n

Denna meningsskiljaktighet bland de mest inflytelserika personerna inom omr\u00e5det har <\/span>gav upphov till en h\u00e4ftig debatt<\/span><\/a> om arten och allvaret i de risker som avancerade AI-system utg\u00f6r.<\/span><\/p>\n

Denna nya studie unders\u00f6ker LLM:s \"emergent abilities\", vilket avser en modells f\u00f6rm\u00e5ga att utf\u00f6ra uppgifter som den inte uttryckligen tr\u00e4nats f\u00f6r.\u00a0<\/span><\/p>\n

AI-riskerna \u00e4r m\u00e5ngfacetterade, men \u00e5tminstone vissa handlar om att modellerna utvecklar egna m\u00e5l som kan skada m\u00e4nniskor, som att st\u00e4nga av datorsystem eller l\u00e4cka data. <\/span><\/p>\n

Det som oroar oss \u00e4r huruvida en LLM spontant kan utveckla dessa f\u00e4rdigheter utan instruktioner eller kontroll.\u00a0<\/span><\/p>\n

F\u00f6r att unders\u00f6ka detta genomf\u00f6rde forskargruppen en serie experiment:<\/span><\/p>\n

    \n
  1. De unders\u00f6kte de underliggande mekanismerna f\u00f6r \"in-context learning\" (ICL) i LLM, vilket g\u00f6r det m\u00f6jligt f\u00f6r modeller att generera svar baserat p\u00e5 exempel som ges under interaktioner. I studien konstateras f\u00f6ljande: \"F\u00f6rm\u00e5gan att f\u00f6lja instruktioner inneb\u00e4r inte att man har f\u00f6rm\u00e5ga att resonera, och \u00e4nnu viktigare \u00e4r att det inte inneb\u00e4r att man har latenta, potentiellt farliga f\u00f6rm\u00e5gor.\"<\/span><\/li>\n
  2. De bed\u00f6mde LLM:s verkliga f\u00f6rm\u00e5gor och begr\u00e4nsningar genom att utv\u00e4rdera deras prestationer p\u00e5 en rad olika uppgifter, inklusive s\u00e5dana som kr\u00e4ver komplexa resonemang och probleml\u00f6sningsf\u00f6rm\u00e5ga. Forskarna h\u00e4vdar att LLM inte sj\u00e4lvst\u00e4ndigt kan utveckla nya f\u00e4rdigheter<\/span><\/li>\n
  3. De analyserade f\u00f6rh\u00e5llandet mellan modellstorlek, tr\u00e4ningsdata och framv\u00e4xande f\u00f6rm\u00e5gor f\u00f6r att avg\u00f6ra om \u00f6kande modellkomplexitet leder till att AI utvecklar farliga f\u00e4rdigheter. Studien sa: \"Dessa observationer inneb\u00e4r att v\u00e5ra resultat g\u00e4ller f\u00f6r alla modeller som uppvisar en ben\u00e4genhet f\u00f6r hallucination eller kr\u00e4ver snabb teknik, inklusive de med st\u00f6rre komplexitet, oavsett skala eller antal modaliteter, till exempel GPT-4.\"<\/span><\/li>\n<\/ol>\n

    Forskarna drar slutsatsen av sin unders\u00f6kning att \"det r\u00e5dande narrativet att denna typ av AI \u00e4r ett hot mot m\u00e4nskligheten f\u00f6rhindrar en utbredd anv\u00e4ndning och utveckling av dessa tekniker och avleder ocks\u00e5 uppm\u00e4rksamheten fr\u00e5n de verkliga fr\u00e5gor som kr\u00e4ver v\u00e5rt fokus\".<\/span><\/p>\n

    Detta st\u00e4mmer v\u00e4l \u00f6verens med LeCun och andra som anser att AI-risker \u00e4r \u00f6verdrivet omskrivna.<\/span><\/p>\n

    Men \u00e4ven om det \u00e4r viktigt att utv\u00e4rdera riskerna med nuvarande AI-modeller \u00e4r det sv\u00e5rare att ta h\u00f6jd f\u00f6r framtiden.\u00a0<\/span><\/p>\n

    Varje generation av modeller kommer med nya f\u00f6rm\u00e5gor och d\u00e4rmed nya risker, vilket visas av n\u00e5gra konstiga beteenden som dokumenterats i\u00a0GPT-4o's testkort<\/a>.\u00a0<\/span><\/p>\n

    I en red teaming-\u00f6vning (utformad f\u00f6r att identifiera of\u00f6ruts\u00e4gbara AI-beteenden) s\u00e5g GPT-4os r\u00f6stfunktion helt chockerande hur den ov\u00e4ntat klonade en anv\u00e4ndares r\u00f6st och b\u00f6rjade prata med dem med sin egen r\u00f6st.\u00a0<\/span><\/p>\n

    Det \u00e4r viktigt att f\u00f6lja AI-riskerna n\u00e4r de dyker upp, eftersom m\u00e5lstolparna \u00e4ndras hela tiden.\u00a0<\/span><\/p>\n

    I studien p\u00e5pekas att vissa icke-existentiella AI-risker redan knackar p\u00e5 d\u00f6rren: \"Framtida forskning b\u00f6r d\u00e4rf\u00f6r fokusera p\u00e5 andra risker som modellerna medf\u00f6r, t.ex. deras potential att anv\u00e4ndas f\u00f6r att generera falska nyheter.\"<\/span><\/p>\n

    Som f\u00f6rfattarna medger betyder det inte att s\u00e4kerheten \u00e4r en icke-fr\u00e5ga bara f\u00f6r att AI inte utg\u00f6r n\u00e5gra storskaliga hot just nu.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    \u00c4r AI riskabelt eller inte? Det \u00e4r en debatt som bara forts\u00e4tter att rasa utan definitiva svar. F\u00f6r att bidra med mer bevis till denna debatt har forskare fr\u00e5n University of Bath och Technical University of Darmstadt lanserat en studie f\u00f6r att utv\u00e4rdera AI-risker i samband med nuvarande spr\u00e5kmodeller som ChatGPT. Resultaten, som publicerades som en del av det 62:a \u00e5rsm\u00f6tet f\u00f6r Association for Computational Linguistics (ACL 2024), utmanar uppfattningen att AI, i synnerhet stora spr\u00e5kmodeller (LLM) som ChatGPT, kan utvecklas bortom m\u00e4nsklig kontroll och utg\u00f6ra ett existentiellt hot mot m\u00e4nskligheten. Detta st\u00e5r i kontrast till de farh\u00e5gor som uttryckts av n\u00e5gra av v\u00e4rldens ledande<\/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\/sv\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\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. This confronts the fears expressed by some of the world’s leading\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/sv\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-15T09:35:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-18T12:14:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/DALL\u00b7E-2024-08-15-10.39.24-A-high-quality-realistic-photographic-style-landscape-image-depicting-existential-risk-with-AI-consuming-the-planet.-The-scene-features-Earth-seen-fr.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" 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