{"id":2548,"date":"2023-07-15T09:55:38","date_gmt":"2023-07-15T09:55:38","guid":{"rendered":"https:\/\/dailyai.com\/?p=2548"},"modified":"2023-07-15T10:14:51","modified_gmt":"2023-07-15T10:14:51","slug":"how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/07\/how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai\/","title":{"rendered":"Hvordan fungerer \"retten til at blive glemt\" (RTBF) i forbindelse med AI?"},"content":{"rendered":"

En ny unders\u00f8gelse afsl\u00f8rer kompleksiteten i GDPR's \"ret til at blive glemt\" (RTBF) i forbindelse med AI.<\/b><\/p>\n

Dette er ogs\u00e5 kendt som retten til sletning og giver enkeltpersoner mulighed for at kr\u00e6ve, at teknologivirksomheder sletter deres persondata permanent. Men i forbindelse med store sprogmodeller (LLM'er) og AI-chatbots er der ingen enkel m\u00e5de at vende modeltr\u00e6ningen om for at fjerne specifikke data.\u00a0<\/span><\/p>\n

Retten til at blive glemt str\u00e6kker sig ud over Europas GDPR. Sammenlignelig lovgivning findes i Canada (CCPA), Japan (APPI) og flere andre lande. Oprindeligt var RTBF-procedurer prim\u00e6rt designet til s\u00f8gemaskiner, hvilket gjorde det relativt enkelt for virksomheder som Google og Microsoft at finde og fjerne specifikke data fra deres webindekser.<\/span><\/p>\n

Forskere fra Data61 Business Unit, en afdeling af Australiens National Science Agency med speciale i AI, robotteknologi og cybersikkerhed, udforskede RTBF til AI i en <\/span>nylig unders\u00f8gelse<\/span><\/a>.<\/span><\/p>\n

De ville unders\u00f8ge, om og hvordan RTBF kunne fungere i en ny \u00e6ra med AI-modeller, der er tr\u00e6net p\u00e5 store m\u00e6ngder data fra internettet. Disse data indeholder navne og sandsynligvis andre personligt identificerbare oplysninger (PII).\u00a0<\/span><\/p>\n

I nogle tilf\u00e6lde kan AI'er udsende forkerte eller endda injurierende oplysninger om mennesker.\u00a0<\/span>I de seneste m\u00e5neder har OpenAI v\u00e6ret indblandet i Flere injuriesager<\/a>og den p\u00e5st\u00e5r, at en mand har beg\u00e5et bedrageri og en anden seksuelle overgreb, hvilket ikke er sandt i nogen af tilf\u00e6ldene.\u00a0<\/span><\/p>\n

I alle disse situationer b\u00f8r det v\u00e6re et absolut minimum at slette de data, der er \u00e5rsag til beskyldningerne.\u00a0<\/span><\/p>\n

Men som forskerne p\u00e5peger, er maskinl\u00e6ringsalgoritmer (ML) ikke s\u00e5 ligetil som s\u00f8gemaskiner.<\/span><\/p>\n

De fremh\u00e6ver, at LLM'er gemmer og behandler information \"p\u00e5 en helt anden m\u00e5de\" sammenlignet med den indekseringsmetode, der bruges af s\u00f8gemaskiner.<\/span><\/p>\n

Og hvordan ved du overhovedet, om dine personlige data er indeholdt i modellen? If\u00f8lge forskerne kan brugerne kun f\u00e5 viden om deres personlige data i LLM'er \"ved enten at inspicere det oprindelige tr\u00e6ningsdatas\u00e6t eller m\u00e5ske ved at sp\u00f8rge modellen.\" Det var s\u00e5dan, Mark Walters fra Georgia i USA opdagede, at hans navn var forbundet med svindel i nogle af ChatGPT's resultater.\u00a0<\/span><\/p>\n

ChatGPT sagde om Walters: \"Mark Walters ('Walters') er en person, der bor i Georgia ... Walters har overtr\u00e5dt disse pligter og ansvarsomr\u00e5der ved blandt andet at undersl\u00e5 og misbruge SAF's midler og aktiver til egen fordel og manipulere SAF's regnskaber og kontoudtog for at skjule sine aktiviteter.\"<\/p>\n

Selvom AI-tjenester udfordrer retten til at blive glemt, betyder det ikke, at de er fritaget for at respektere retten til privatliv.\u00a0<\/span><\/p>\n

Forskerne foresl\u00e5r forskellige strategier til at fjerne data fra AI-tr\u00e6ningsmodeller, herunder bl.a. SISA-teknikken \"machine unlearning\", Inductive Graph Unlearning og Approximate Data Deletion.\u00a0<\/span><\/p>\n

Disse metoder kan g\u00f8re det muligt for AI-udviklere at unders\u00f8ge deres datas\u00e6t p\u00e5 en p\u00e5lidelig m\u00e5de og fjerne specifikke data for at opretholde RTBF.<\/span><\/p>\n

Kan du fjerne dine data fra AI-modeller som ChatGPT?<\/span><\/h2>\n

OpenAI har indf\u00f8rt procedurer, s\u00e5 enkeltpersoner kan anmode om sletning af persondata i AI-modeller og frav\u00e6lge fremtidig brug af data til tr\u00e6ning af AI.\u00a0<\/span><\/p>\n

Denne artikel<\/span><\/a> d\u00e6kker forskellige aspekter af OpenAI's privatlivspolitik, herunder retten til sletning, som man kan anmode om via <\/span>denne formular<\/span><\/a>. Den specifikke h\u00e5ndtering af disse anmodninger er stadig uklar, og der er kun f\u00e5 beviser p\u00e5, at folk har haft succes med deres RTBF-krav.\u00a0<\/span><\/p>\n

Derudover kan brugere indgive en anmodning om adgang til registrerede (DSAR) for at ud\u00f8ve GDPR-sikrede rettigheder s\u00e5som rettelse, begr\u00e6nsning eller overf\u00f8rsel af data.\u00a0<\/span><\/p>\n

OpenAI bem\u00e6rkede dog, at det i \u00f8jeblikket ikke er muligt at korrigere un\u00f8jagtige data genereret af deres modeller, s\u00e5 sletning vil sandsynligvis v\u00e6re l\u00f8sningen.<\/span><\/p>\n

P\u00e5 trods af disse mekanismer advarede OpenAI om, at de m\u00e5ske ville afvise eller kun delvist reagere p\u00e5 anmodninger baseret p\u00e5 juridiske begr\u00e6nsninger og afvejning af anmodninger om privatlivets fred over for ytringsfriheden.<\/span><\/p>\n

OpenAI tilbyder ogs\u00e5 en opt-out for brugere, der ikke \u00f8nsker, at deres data bruges til AI-tr\u00e6ning via ChatGPT-kontoindstillingerne.<\/span><\/p>\n

OpenAI stiller f\u00f8lgende e-mailadresse til r\u00e5dighed for korrespondance om sagen: <\/span>dsar@openai.com<\/span><\/a>.<\/span><\/p>\n

Naturligvis er ChatGPT ikke den eneste AI, der er tr\u00e6net p\u00e5 \u00e5bne internetdata. Alle, der \u00f8nsker at fjerne deres personlige oplysninger fra alle st\u00f8rre offentlige AI-chatbots, skal kontakte hver enkelt udvikler.<\/span><\/p>\n

Virkeligheden er, at de fleste data, der offentligg\u00f8res p\u00e5 internettet, er tilg\u00e6ngelige for AI-virksomheder, og det er us\u00e6dvanligt udfordrende at fjerne data fra modeller.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

En ny unders\u00f8gelse afsl\u00f8rer kompleksiteten i GDPR's \"ret til at blive glemt\" (RTBF) i forbindelse med AI. Den er ogs\u00e5 kendt som retten til sletning og giver enkeltpersoner mulighed for at kr\u00e6ve, at teknologivirksomheder sletter deres persondata permanent. Men i forbindelse med store sprogmodeller (LLM'er) og AI-chatbots er der ikke nogen enkel m\u00e5de at vende modeltr\u00e6ningen p\u00e5 for at fjerne specifikke data. Retten til at blive glemt str\u00e6kker sig ud over Europas GDPR. Sammenlignelig lovgivning findes i Canada (CCPA), Japan (APPI) og flere andre lande. Oprindeligt var RTBF-procedurer prim\u00e6rt designet til s\u00f8gemaskiner, hvilket gjorde det relativt enkelt<\/p>","protected":false},"author":2,"featured_media":2549,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[219,218,220,92],"class_list":["post-2548","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-policy","tag-data-protection","tag-gdpr","tag-privacy","tag-regulation"],"yoast_head":"\nHow does the "right to be forgotten" (RTBF) function in the context of AI? | DailyAI<\/title>\n<meta name=\"description\" content=\"A new study reveals the complexities of the GDPR\u2019s "right to be forgotten" (RTBF) in the context of AI.\" \/>\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\/07\/how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How does the "right to be forgotten" (RTBF) function in the context of AI? 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