{"id":2867,"date":"2023-07-22T11:49:25","date_gmt":"2023-07-22T11:49:25","guid":{"rendered":"https:\/\/dailyai.com\/?p=2867"},"modified":"2023-07-22T23:19:29","modified_gmt":"2023-07-22T23:19:29","slug":"leading-ai-companies-commit-to-developing-watermarking-techniques","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/07\/leading-ai-companies-commit-to-developing-watermarking-techniques\/","title":{"rendered":"Ledende AI-selskaper forplikter seg til \u00e5 utvikle vannmerketeknikker"},"content":{"rendered":"

I et fors\u00f8k p\u00e5 \u00e5 bekjempe forfalskninger og feilinformasjon har de syv AI-selskapene som denne uken sluttet seg til USAs frivillige rammeverk for kunstig intelligens, forpliktet seg til \u00e5 vannmerke AI-generert innhold.<\/b><\/p>\n

Deltakerne i frivillig rammeverk<\/a>som ble kunngjort av Det hvite hus 21. juni, inkluderer Google, OpenAI, Microsoft, Meta, Amazon, Anthropic og Inflection. <\/span><\/p>\n

Som en del av dette rammeverket har disse selskapene forpliktet seg til \u00e5 utvikle vannmerker for \u00e5 hjelpe publikum med \u00e5 identifisere opprinnelsen til AI-generert innhold og redusere bedrag. <\/span><\/p>\n

P\u00e5 samme m\u00e5te som et vanlig vannmerke festes et AI-vannmerke til et bilde, en video, en lydfil eller en tekst.\u00a0<\/span><\/p>\n

Vannmerking av AI-generert innhold kan redusere svindel, falske virale kampanjer og sextortion. \"Dette vannmerket vil la kreativiteten med kunstig intelligens blomstre, samtidig som det reduserer risikoen for svindel og bedrag\", sier Det hvite hus.\u00a0<\/span><\/p>\n

I en <\/span>blogginnlegg<\/span><\/a> som ble publisert kort tid etter kunngj\u00f8ringene fra Det hvite hus, beskriver OpenAI sin avtale om \u00e5 \"utvikle robuste mekanismer, inkludert proveniens- og\/eller vannmerkesystemer for lyd- og bildeinnhold\". De vil ogs\u00e5 utvikle \"verkt\u00f8y eller API-er for \u00e5 fastsl\u00e5 om et stykke innhold er laget med deres system\".<\/span><\/p>\n

Google planlegger \u00e5 forbedre informasjonens p\u00e5litelighet ved \u00e5 integrere metadata og \"andre innovative teknikker\" i tillegg til vannmerking.\u00a0<\/span><\/p>\n

Det hvite hus kunngjorde en rekke andre sikkerhetstiltak p\u00e5 fredag, blant annet at AI-systemer skal testes internt og eksternt f\u00f8r lansering, at investeringene i cybersikkerhet skal \u00f8kes, og at samarbeid p\u00e5 tvers av bransjen skal fremmes for \u00e5 redusere AI-risiko.<\/span><\/p>\n

OpenAI sa at disse forpliktelsene markerer \"et viktig skritt i arbeidet med \u00e5 fremme meningsfull og effektiv styring av kunstig intelligens, b\u00e5de i USA og i resten av verden\". <\/span><\/p>\n

Selskapet lovet ogs\u00e5 \u00e5 \"investere i forskning p\u00e5 omr\u00e5der som kan bidra til \u00e5 informere om regulering, for eksempel teknikker for \u00e5 vurdere potensielt farlige evner i AI-modeller\".<\/span><\/p>\n

Nick Clegg, Metas president for globale anliggender, sluttet seg til OpenAIs synspunkt og beskrev disse forpliktelsene som et \"viktig f\u00f8rste skritt i retning av \u00e5 sikre at det etableres ansvarlige rekkverk for kunstig intelligens\".<\/span><\/p>\n

Vil AI-vannmerker fungere?<\/span><\/h2>\n

Selv om det er konseptuelt tiltalende \u00e5 vannmerke AI-generert innhold, er det langt fra idiotsikkert.\u00a0<\/span><\/p>\n

Bilder, videoer og lydopptak kan v\u00e6re utstyrt med sm\u00e5, svake grafiske elementer eller lyd som signaliserer at de er AI-genererte.<\/span><\/p>\n

P\u00e5 samme m\u00e5te kan integrering av metadata i AI-genererte filer gi informasjon om kilden og prosessen som ligger til grunn for innholdet. Det vil imidlertid sannsynligvis v\u00e6re enkelt \u00e5 fjerne vannmerker ved hjelp av andre AI-verkt\u00f8y eller fjerne metadata.\u00a0<\/span><\/p>\n

Hvis vannmerker kan fjernes, f\u00e5r AI-generert innhold uten vannmerke plutselig legitimitet. Frav\u00e6ret av et vannmerke kan brukes til \u00e5 hevde at et bilde er ekte, selv om det ikke er det - en potensielt farlig avveining.\u00a0<\/span><\/p>\n

N\u00e5r det gjelder AI-generert tekst, finnes det ingen enkel l\u00f8sning. I motsetning til bilder og lyd er det ikke s\u00e5 lett \u00e5 legge inn vannmerker i tekst.\u00a0<\/span><\/p>\n

Den prim\u00e6re tiln\u00e6rmingen her er \u00e5 sende tekst gjennom AI-detektorer, som analyserer tekstens perpleksitet - et m\u00e5l p\u00e5 hvor sannsynlig det er at en AI-modell kan forutsi en gitt sekvens av ord - for \u00e5 ansl\u00e5 om den er AI-genererte.\u00a0<\/span><\/p>\n

AI-detektorer har sine svakheter. De gir ofte mange falske positiver, noe som f\u00f8rer til at innhold som ikke er AI-generert, blir feilaktig flagget.\u00a0<\/span><\/p>\n

Dette problemet forsterkes n\u00e5r man analyserer tekst skrevet av personer som ikke har engelsk som morsm\u00e5l, som kan bruke mindre vanlige formuleringer eller ha atypisk syntaks, noe som \u00f8ker andelen falske positive ytterligere.<\/span> En fersk unders\u00f8kelse<\/span><\/a> frar\u00e5det av disse grunnene bruk av AI-detektorer i utdannings- og rekrutteringssammenheng.<\/span><\/p>\n

Etter hvert som AI-modellene utvikler seg, blir dessuten skillet mellom menneskeskrevet og AI-skrevet innhold stadig mer utydelig. Etter hvert som AI blir flinkere til \u00e5 etterligne menneskelige skrivestiler, vil detektorer basert p\u00e5 forvirring bli mindre p\u00e5litelige.\u00a0<\/span><\/p>\n

Selv om vannmerking er et skritt i retning av mer \u00e5penhet og ansvarlighet i AI-generert innhold, er det ikke en enkel l\u00f8sning, og det fungerer ikke som et ultimat avskrekkende middel eller en \"s\u00f8lvkule\". <\/span><\/p>","protected":false},"excerpt":{"rendered":"

I et fors\u00f8k p\u00e5 \u00e5 bekjempe forfalskninger og feilinformasjon har de syv AI-selskapene som denne uken sluttet seg til USAs frivillige AI-rammeverk, forpliktet seg til \u00e5 vannmerke AI-generert innhold. Deltakerne i det frivillige rammeverket, som ble kunngjort av Det hvite hus 21. juni, inkluderer Google, OpenAI, Microsoft, Meta, Amazon, Anthropic og Inflection. Som en del av dette rammeverket har disse selskapene forpliktet seg til \u00e5 utvikle vannmerker for \u00e5 hjelpe publikum med \u00e5 identifisere opprinnelsen til AI-generert innhold og redusere bedrag. Et AI-vannmerke knyttes til et bilde, en video, en lydfil eller en tekst p\u00e5 samme m\u00e5te som et vanlig vannmerke. Vannmerking av AI-generert innhold kan redusere<\/p>","protected":false},"author":2,"featured_media":2869,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[102,121,93,91,92,239],"class_list":["post-2867","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-policy","tag-google","tag-microsoft","tag-openai","tag-policy","tag-regulation","tag-white-house"],"yoast_head":"\nLeading AI companies commit to developing watermarking techniques | DailyAI<\/title>\n<meta name=\"description\" content=\"In a bid to tackle deep fakes and misinformation, the 7 AI companies that agreed to a voluntary framework yesterday have pledged to develop technology that will watermark AI-generated content.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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