{"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\/da\/2023\/10\/new-index-shows-ai-models-are-becoming-less-transparent\/","title":{"rendered":"Nyt indeks viser, at AI-modeller bliver mindre gennemsigtige"},"content":{"rendered":"<p><strong>Forskere fra Stanford, MIT og Princeton skabte et indeks for at benchmarke gennemsigtigheden af AI-virksomheder og deres modeller. Resultaterne var ikke gode.<\/strong><\/p>\n<p>Foundation Model Transparency Index (FMTI) vurderer gennemsigtigheden hos 10 virksomheder, der arbejder med fundamentmodeller, ud fra 100 forskellige aspekter af gennemsigtighed. Kriterierne er relateret til, hvordan en virksomhed opbygger en fondsmodel, hvordan den fungerer og downstream-brugeroplevelsen.<\/p>\n<p>Meta's Llama 2 kom ud p\u00e5 toppen, men dens score p\u00e5 54% er ikke ligefrem prangende. OpenAI kom p\u00e5 en t\u00e6t tredjeplads med en gennemsigtighedsscore p\u00e5 48%. I betragtning af den igangv\u00e6rende <a href=\"https:\/\/dailyai.com\/da\/2023\/10\/protestors-criticize-metas-open-source-approach-to-ai-development\/\">Debat om open source vs. propriet\u00e6r software<\/a>Det er interessant at se, at forskellen mellem disse to ikke var meget st\u00f8rre.<\/p>\n<p>Gennemsigtighed er en vigtig faktor, n\u00e5r organisationer fors\u00f8ger at v\u00e6lge, hvilken virksomhedsmodel de skal bruge. Hvis din virksomhed eller uddannelsesinstitution bruger en AI-model, vil du gerne vide, om du kan stole p\u00e5 den.<\/p>\n<p>Er den m\u00e5de, modellen er lavet p\u00e5, i overensstemmelse med din institutions principper? Kan du uds\u00e6tte dig selv for retssager p\u00e5 et senere tidspunkt p\u00e5 grund af brud p\u00e5 ophavsretten?<\/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=\"Foundation Model Transparency Index Total Scores - 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\">Foundation Model Transparency Index samlede score 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\">Indekset<\/a> opn\u00e5r to vigtige ting. Den viser, at vi har lang vej igen, f\u00f8r vi har virkelig gennemsigtige AI-l\u00f8sninger. Og selvom vi endnu ikke har opn\u00e5et det, viser det os, hvilke virksomheder der g\u00f8r et bedre stykke arbejde end 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 l\u00e6sning. Den stiller sp\u00f8rgsm\u00e5l som: \"Er geografiske oplysninger om de mennesker, der er involveret i dataarbejdet, offentliggjort for hver fase af datapipelinen?\" <a href=\"https:\/\/dailyai.com\/da\/2023\/09\/lawmakers-investigate-ghost-workers-at-top-ai-companies\/\">Sp\u00f8gelsesarbejdere<\/a> har v\u00e6ret en omstridt etisk flue i AI-salven.<\/p>\n<p>Et andet af kriterierne lyder: \"Oplyses der om den m\u00e6ngde energi, der er brugt p\u00e5 at bygge modellen?\" Et vigtigt punkt, hvis du vil lave en <a href=\"https:\/\/dailyai.com\/da\/2023\/10\/ai-could-consume-the-same-energy-as-the-netherlands-by-2027\/\">milj\u00f8m\u00e6ssigt<\/a> informeret valg mellem to modeller.<\/p>\n<p>Disse sp\u00f8rgsm\u00e5l er un\u00e6gtelig vigtige, men AI-virksomhederne oplyser ikke nok om dem. I introduktionen til FMTI siger Center for Research Foundation Models: \"Mens de samfundsm\u00e6ssige konsekvenser af disse modeller er stigende, er gennemsigtigheden faldende.\"<\/p>\n<p>At s\u00e6tte et tal p\u00e5 det vil forh\u00e5bentlig skabe en vis konkurrence mellem de store AI-teknologivirksomheder om at str\u00e6be mod toppen af FMTI-bordet.<\/p>\n<p>Efterh\u00e5nden som pr\u00e6stationspariteten mellem topmodellerne konvergerer, kan det meget vel v\u00e6re, at FMTI-scoren kan p\u00e5virke valget af en model frem for en anden.<\/p>","protected":false},"excerpt":{"rendered":"<p>Forskere fra Stanford, MIT og Princeton skabte et indeks for at benchmarke gennemsigtigheden af AI-virksomheder og deres modeller. Resultaterne var ikke gode. Foundation Model Transparency Index (FMTI) vurderer gennemsigtigheden hos 10 foundation model-virksomheder ud fra 100 forskellige aspekter af gennemsigtighed. Kriterierne er relateret til, hvordan en virksomhed opbygger en grundmodel, hvordan den fungerer og downstream-brugeroplevelsen. Meta's Llama 2 kom ud p\u00e5 toppen, men dens score p\u00e5 54% er ikke ligefrem prangende. OpenAI kom p\u00e5 en t\u00e6t tredjeplads med en gennemsigtighedsscore p\u00e5 48%. I betragtning af den igangv\u00e6rende debat om open source 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\/da\/2023\/10\/new-index-shows-ai-models-are-becoming-less-transparent\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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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