{"id":6560,"date":"2023-10-19T14:10:09","date_gmt":"2023-10-19T14:10:09","guid":{"rendered":"https:\/\/dailyai.com\/?p=6560"},"modified":"2023-10-19T14:10:09","modified_gmt":"2023-10-19T14:10:09","slug":"new-index-shows-ai-models-are-becoming-less-transparent","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/10\/new-index-shows-ai-models-are-becoming-less-transparent\/","title":{"rendered":"Ny indeks viser at AI-modeller blir mindre transparente"},"content":{"rendered":"<p><strong>Forskere fra Stanford, MIT og Princeton har laget en indeks for \u00e5 m\u00e5le \u00e5penheten til AI-selskaper og modellene deres. Resultatene var ikke gode.<\/strong><\/p>\n<p>Foundation Model Transparency Index (FMTI) vurderer \u00e5penheten til 10 grunnmursmodellselskaper i henhold til 100 ulike aspekter av \u00e5penhet. Kriteriene er knyttet til hvordan et selskap bygger opp en stiftelsesmodell, hvordan den fungerer, og brukeropplevelsen nedstr\u00f8ms.<\/p>\n<p>Meta's Llama 2 kom p\u00e5 topp, men poengsummen p\u00e5 54% er ikke akkurat \u00e5 skyte ut lysene. OpenAI kom p\u00e5 en tredjeplass med en gjennomsiktighetsscore p\u00e5 48%. Tatt i betraktning den p\u00e5g\u00e5ende <a href=\"https:\/\/dailyai.com\/nb\/2023\/10\/protestors-criticize-metas-open-source-approach-to-ai-development\/\">debatt om \u00e5pen kildekode vs. propriet\u00e6r kildekode<\/a>er det interessant \u00e5 se at avstanden mellom disse to ikke var mye st\u00f8rre.<\/p>\n<p>\u00c5penhet er en viktig faktor n\u00e5r organisasjoner skal velge hvilken bedriftsmodell de skal ta i bruk. Hvis virksomheten eller utdanningsinstitusjonen din bruker en AI-modell, vil du vite om du kan stole p\u00e5 den.<\/p>\n<p>Er m\u00e5ten modellen er laget p\u00e5, i tr\u00e5d med prinsippene til institusjonen din? Kan du utsette deg for rettssaker p\u00e5 grunn av brudd p\u00e5 opphavsretten?<\/p>\n<figure id=\"attachment_6562\" aria-describedby=\"caption-attachment-6562\" style=\"width: 2560px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-6562 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-scaled.jpeg\" alt=\"\u00c5penhetsindeks for stiftelsesmodellen - 2023\" width=\"2560\" height=\"1792\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-scaled.jpeg 2560w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-300x210.jpeg 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-1024x717.jpeg 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-768x538.jpeg 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-1536x1075.jpeg 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-2048x1433.jpeg 2048w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-370x259.jpeg 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-800x560.jpeg 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-740x518.jpeg 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-20x14.jpeg 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-1600x1120.jpeg 1600w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-1320x924.jpeg 1320w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/Foundation-Model-Transparency-Index-Total-Scores-2023-69x48.jpeg 69w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><figcaption id=\"caption-attachment-6562\" class=\"wp-caption-text\">Total poengsum for \u00e5penhetsindeksen for stiftelsesmodellen for 2023. Kilde: <a href=\"https:\/\/crfm.stanford.edu\/fmti\/\" target=\"_blank\" rel=\"noopener\">Stanford<\/a><\/figcaption><\/figure>\n<p><a href=\"https:\/\/crfm.stanford.edu\/fmti\/\" target=\"_blank\" rel=\"noopener\">Indeksen<\/a> oppn\u00e5r to viktige ting. Det viser at vi har en lang vei \u00e5 g\u00e5 f\u00f8r vi har virkelig transparente AI-l\u00f8sninger. Og selv om vi enn\u00e5 ikke har oppn\u00e5dd det, viser det oss hvilke selskaper som gj\u00f8r en bedre jobb enn andre.<\/p>\n<p>Den <a href=\"https:\/\/github.com\/stanford-crfm\/fmti\/blob\/main\/fmti-indicators.pdf\" target=\"_blank\" rel=\"noopener\">liste over kriterier<\/a> er interessant lesning. Den stiller sp\u00f8rsm\u00e5l som: \"Offentliggj\u00f8res geografisk informasjon om personene som er involvert i dataarbeidet for hver fase av datapipelinen?\" <a href=\"https:\/\/dailyai.com\/nb\/2023\/09\/lawmakers-investigate-ghost-workers-at-top-ai-companies\/\">Sp\u00f8kelsesarbeidere<\/a> har v\u00e6rt en omstridt etisk flue i AI-salven.<\/p>\n<p>Et annet av kriteriene lyder: \"Opplyses det om hvor mye energi som er brukt til \u00e5 bygge modellen?\" Et viktig poeng hvis du \u00f8nsker \u00e5 lage en <a href=\"https:\/\/dailyai.com\/nb\/2023\/10\/ai-could-consume-the-same-energy-as-the-netherlands-by-2027\/\">milj\u00f8messig<\/a> informert valg mellom to modeller.<\/p>\n<p>Disse sp\u00f8rsm\u00e5lene er unektelig viktige, men AI-selskapene er d\u00e5rlige til \u00e5 opplyse om dem. I innledningen til FMTI sier Center for Research Foundation Models: \"Mens den samfunnsmessige effekten av disse modellene \u00f8ker, er \u00e5penheten p\u00e5 vei ned.\"<\/p>\n<p>\u00c5 sette et tall p\u00e5 det vil forh\u00e5pentligvis skape en viss konkurransef\u00f8lelse blant de store AI-teknologiselskapene om \u00e5 strekke seg mot toppen av FMTI-tabellen.<\/p>\n<p>Etter hvert som ytelsen mellom de beste modellene blir mer og mer lik, kan det godt tenkes at FMTI-poengsummen kan p\u00e5virke valget av en modell fremfor en annen.<\/p>","protected":false},"excerpt":{"rendered":"<p>Forskere fra Stanford, MIT og Princeton har laget en indeks for \u00e5 m\u00e5le \u00e5penheten til AI-selskaper og modellene deres. Resultatene var ikke gode. Foundation Model Transparency Index (FMTI) vurderer \u00e5penheten til 10 selskaper som jobber med stiftelsesmodeller, i henhold til 100 ulike aspekter av \u00e5penhet. Kriteriene er knyttet til hvordan et selskap bygger en grunnmodell, hvordan den fungerer og nedstr\u00f8ms brukeropplevelse. Metas Llama 2 kom p\u00e5 topp, men poengsummen p\u00e5 54% er ikke akkurat imponerende. OpenAI kom p\u00e5 en god tredjeplass med en gjennomsiktighetsscore p\u00e5 48%. Tatt i betraktning den p\u00e5g\u00e5ende debatten om \u00e5pen kildekode vs propriet\u00e6r,<\/p>","protected":false},"author":6,"featured_media":6563,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[103,118,131,93,442],"class_list":["post-6560","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-debate","tag-llms","tag-meta","tag-openai","tag-transparency"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>New index shows AI models are becoming less transparent | 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\/2023\/10\/new-index-shows-ai-models-are-becoming-less-transparent\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New index shows AI models are becoming less transparent | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from Stanford, MIT, and Princeton created an index to benchmark the transparency of AI companies and their models. The results weren\u2019t great. The Foundation Model Transparency Index (FMTI) rates the transparency of 10 foundation model companies according to 100 different aspects of transparency. The criteria are related to how a company builds a foundation model, how it works, and downstream user experience. Meta\u2019s Llama 2 came out on top however, its score of 54% isn\u2019t exactly shooting out the lights. OpenAI came a close third with a transparency score of 48%. 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