{"id":11426,"date":"2024-04-08T17:45:24","date_gmt":"2024-04-08T17:45:24","guid":{"rendered":"https:\/\/dailyai.com\/?p=11426"},"modified":"2024-04-09T08:28:17","modified_gmt":"2024-04-09T08:28:17","slug":"inside-big-techs-tussle-over-ai-training-data","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/","title":{"rendered":"Indblik i Big Techs kamp om AI-tr\u00e6ningsdata"},"content":{"rendered":"

I den hektiske jagt p\u00e5 AI-tr\u00e6ningsdata har tech-giganterne OpenAI, Google og Meta angiveligt omg\u00e5et virksomhedspolitikker, \u00e6ndret deres regler og diskuteret omg\u00e5else af copyright-loven.\u00a0<\/b><\/p>\n

A <\/span>New York Times' unders\u00f8gelse<\/span><\/a> afsl\u00f8rer, hvor langt disse virksomheder er g\u00e5et for at h\u00f8ste onlineoplysninger til at fodre deres datahungrende AI-systemer.<\/span><\/p>\n

I slutningen af 2021 udviklede OpenAI-forskere et talegenkendelsesv\u00e6rkt\u00f8j kaldet Whisper til at transskribere YouTube-videoer, n\u00e5r der var mangel p\u00e5 anerkendte engelsksprogede tekstdata.\u00a0<\/span><\/p>\n

P\u00e5 trods af interne diskussioner om potentielt at overtr\u00e6de YouTubes regler, som forbyder brug af videoer til \"uafh\u00e6ngige\" applikationer,\u00a0<\/span><\/p>\n

NYT fandt ud af, at OpenAI i sidste ende transskriberede over en million timers YouTube-indhold. Greg Brockman, OpenAI's pr\u00e6sident, hjalp personligt med at indsamle videoerne. Den transskriberede tekst blev derefter f\u00f8rt ind i GPT-4.<\/span><\/p>\n

Google har angiveligt ogs\u00e5 transskriberet YouTube-videoer for at indsamle tekst til sine AI-modeller, hvilket potentielt kr\u00e6nker videoskabernes ophavsret. <\/span><\/p>\n

Det sker f\u00e5 dage efter, at YouTubes CEO sagde, at en s\u00e5dan aktivitet ville v\u00e6re i strid med <\/span>virksomhedens servicevilk\u00e5r<\/span><\/a> og underminere skaberne.\u00a0<\/span><\/p>\n

I juni 2023 anmodede Googles juridiske afdeling om \u00e6ndringer af virksomhedens privatlivspolitik, s\u00e5 offentligt tilg\u00e6ngeligt indhold fra Google Docs og andre Google-apps kunne bruges til en bredere vifte af AI-produkter.\u00a0<\/span><\/p>\n

Meta, som selv mangler data, har overvejet forskellige muligheder for at skaffe flere tr\u00e6ningsdata.\u00a0<\/span><\/p>\n

Cheferne diskuterede at betale for boglicenser, k\u00f8be forlaget Simon & Schuster og endda h\u00f8ste ophavsretligt beskyttet materiale fra internettet uden tilladelse og dermed risikere potentielle retssager.\u00a0<\/span><\/p>\n

Metas advokater argumenterede for, at brug af data til at tr\u00e6ne AI-systemer burde falde ind under \"fair use\", med henvisning til en domstolsafg\u00f8relse fra 2015, der involverede Googles bogscanningsprojekt.<\/span><\/p>\n

Etiske bekymringer og fremtiden for AI-tr\u00e6ningsdata<\/h2>\n

Disse teknologivirksomheders kollektive handlinger understreger den kritiske betydning af onlinedata i den blomstrende AI-industri.<\/span><\/p>\n

Denne praksis har givet anledning til bekymring om kr\u00e6nkelse af ophavsretten og rimelig kompensation til skaberne.\u00a0<\/span><\/p>\n

En filmskaber og forfatter, Justine Bateman, fortalte Copyright Office, at AI-modeller tog indhold - herunder hendes tekster og film - uden tilladelse eller betaling. <\/span><\/p>\n

\"Dette er det st\u00f8rste tyveri i USA, punktum,\" sagde hun i et interview.<\/span><\/p>\n

I billedkunsten har MidJourney og andre billedmodeller v\u00e6ret <\/span>bevist at generere copyright<\/span><\/a> indhold, f.eks. scener fra Marvel-film.\u00a0<\/span><\/p>\n

Nogle eksperter forudsiger, at onlinedata af h\u00f8j kvalitet kan v\u00e6re opbrugt i 2026, og derfor unders\u00f8ger virksomheder alternative metoder, som f.eks. at generere syntetiske data ved hj\u00e6lp af egne AI-modeller.\u00a0<\/span>Men syntetiske tr\u00e6ningsdata har sine egne risici og udfordringer og kan have en negativ indvirkning p\u00e5 <\/span>p\u00e5virke kvaliteten af modeller<\/span><\/a>.\u00a0<\/span><\/p>\n

OpenAI's CEO Sam Altman erkendte selv, at onlinedata er begr\u00e6nsede i en tale p\u00e5 en teknologikonference i maj 2023: \"Det l\u00f8ber ud,\" sagde han.<\/span><\/p>\n

Sy Damle, en advokat, der repr\u00e6senterer Andreessen Horowitz, et venturekapitalfirma i Silicon Valley, diskuterede ogs\u00e5 udfordringen: \"Den eneste praktiske m\u00e5de, hvorp\u00e5 disse v\u00e6rkt\u00f8jer kan eksistere, er, hvis de kan tr\u00e6nes p\u00e5 store m\u00e6ngder data uden at skulle have licens til disse data. De data, der er brug for, er s\u00e5 massive, at selv kollektiv licensering ikke rigtig kan fungere.\"<\/span><\/p>\n

NYT og OpenAI er l\u00e5st fast i en Bitter retssag om ophavsret<\/a>og Times kr\u00e6ver, hvad der sandsynligvis vil v\u00e6re millioner i erstatning.<\/p>\n

OpenAI slog tilbage og beskyldte Times for at 'hacking' af deres modeller<\/a> for at finde eksempler p\u00e5 kr\u00e6nkelser af ophavsretten.<\/p>\n

Med 'hacking' mener de jailbreaking eller red-teaming, som indeb\u00e6rer at m\u00e5lrette modellen med specielt formulerede beskeder, der har til form\u00e5l at bryde for at manipulere resultater.<\/p>\n

NYT sagde, at de ikke ville v\u00e6re n\u00f8dt til at ty til jailbreaking-modeller, hvis AI-virksomheder var gennemsigtige med hensyn til de data, de havde brugt.<\/p>\n

Der er ingen tvivl om, at denne interne unders\u00f8gelse tegner et yderligere billede af Big Techs datakup som etisk og juridisk uacceptabelt.<\/p>\n

Retssagerne hober sig op,<\/span>\u00a0Det juridiske landskab omkring brugen af onlinedata til AI-tr\u00e6ning er ekstremt usikkert.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

I den hektiske jagt p\u00e5 AI-tr\u00e6ningsdata har tech-giganterne OpenAI, Google og Meta angiveligt omg\u00e5et virksomhedspolitikker, \u00e6ndret deres regler og diskuteret omg\u00e5else af copyright-loven. En unders\u00f8gelse fra New York Times afsl\u00f8rer, hvor langt disse virksomheder er g\u00e5et for at h\u00f8ste onlineoplysninger til at fodre deres datahungrende AI-systemer. I slutningen af 2021 udviklede OpenAI-forskere et talegenkendelsesv\u00e6rkt\u00f8j kaldet Whisper til at transskribere YouTube-videoer, n\u00e5r de stod over for en mangel p\u00e5 anerkendte engelsksprogede tekstdata. P\u00e5 trods af interne diskussioner om potentielt at overtr\u00e6de YouTubes regler, som forbyder brug af videoer til \"uafh\u00e6ngige\" applikationer, fandt NYT ud af, at OpenAI i sidste ende transskriberede over en million timer.<\/p>","protected":false},"author":2,"featured_media":11427,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[197],"class_list":["post-11426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-copyright"],"yoast_head":"\nInside Big Tech\u2019s tussle over AI training data | 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\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inside Big Tech\u2019s tussle over AI training data | DailyAI\" \/>\n<meta property=\"og:description\" content=\"In the frantic pursuit of AI training data, tech giants OpenAI, Google, and Meta have reportedly bypassed corporate policies, altered their rules, and discussed circumventing copyright law.\u00a0 A New York Times investigation reveals the lengths these companies have gone to harvest online information to feed their data-hungry AI systems. In late 2021, OpenAI researchers developed a speech recognition tool called Whisper to transcribe YouTube videos when facing a shortage of reputable English-language text data.\u00a0 Despite internal discussions about potentially violating YouTube’s rules, which prohibit using its videos for “independent” applications,\u00a0 NYT found that OpenAI ultimately transcribed over one million hours\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/da\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-08T17:45:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-09T08:28:17+00:00\" \/>\n<meta property=\"og:image\" 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