{"id":13337,"date":"2024-07-08T11:26:24","date_gmt":"2024-07-08T11:26:24","guid":{"rendered":"https:\/\/dailyai.com\/?p=13337"},"modified":"2024-07-08T11:26:24","modified_gmt":"2024-07-08T11:26:24","slug":"ai-lie-detector-beats-humans-and-could-be-socially-disruptive","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/07\/ai-lie-detector-beats-humans-and-could-be-socially-disruptive\/","title":{"rendered":"AI-l\u00f8gndetektor sl\u00e5r mennesker og kan v\u00e6re samfunnsomveltende"},"content":{"rendered":"

Forskere fra universitetet i W\u00fcrzburg og Max-Planck-instituttet for menneskelig utvikling har trent opp en AI-modell til \u00e5 oppdage l\u00f8gner, og det kan endre m\u00e5ten vi omg\u00e5s hverandre p\u00e5.<\/strong><\/p>\n

Mennesker er ikke gode til \u00e5 avgj\u00f8re om en person lyver eller snakker sant. Eksperimenter viser at treffprosenten v\u00e5r i beste fall ligger p\u00e5 rundt 50%, og denne d\u00e5rlige prestasjonen dikterer hvordan vi kommuniserer med hverandre.<\/p>\n

Sannhetsteorien (TDT) sier at folk vanligvis vil anta at det en person forteller dem, er sant. Den sosiale kostnaden ved \u00e5 kalle personen en l\u00f8gner er for stor med v\u00e5r 50\/50 evne til \u00e5 oppdage l\u00f8gner, og faktasjekk er ikke alltid praktisk i \u00f8yeblikket.<\/p>\n

L\u00f8gndetektorer og annen l\u00f8gndetektorteknologi kan plukke opp data som stressindikatorer og \u00f8yebevegelser, men det er lite sannsynlig at du kommer til \u00e5 bruke en av disse i din neste samtale. Kan kunstig intelligens hjelpe?<\/p>\n

Avisen<\/a> forklarer hvordan forskerteamet l\u00e6rte opp Googles BERT LLM til \u00e5 oppdage n\u00e5r folk lyver.<\/p>\n

Forskerne rekrutterte 986 deltakere og ba dem beskrive sine planer for helgen, med en oppf\u00f8lgende forklaring som underbygget sannhetsgehalten i utsagnet.<\/p>\n

Deretter ble de presentert for en annen deltakers planer for helgen og bedt om \u00e5 skrive en falsk st\u00f8tteerkl\u00e6ring der de hevdet at dette faktisk var deres egne planer for helgen.<\/p>\n

BERT ble trent opp p\u00e5 80% av de 1536 utsagnene og fikk deretter i oppgave \u00e5 vurdere sannhetsgehalten i resten av utsagnene.<\/p>\n

Modellen klarte \u00e5 merke et utsagn som sant eller usant med en n\u00f8yaktighet p\u00e5 66,86%, noe som var betydelig bedre enn de menneskelige dommerne, som oppn\u00e5dde en n\u00f8yaktighet p\u00e5 46,47% i videre eksperimenter.<\/p>\n

Ville du brukt en AI-l\u00f8gndetektor?<\/h2>\n

Forskerne fant ut at bare en tredjedel av deltakerne valgte \u00e5 takke ja til tilbudet om \u00e5 bruke AI-modellen for l\u00f8gndeteksjon.<\/p>\n

De som valgte \u00e5 bruke algoritmen, fulgte nesten alltid algoritmens prediksjon ved \u00e5 akseptere utsagnet som sant eller komme med en anklage om l\u00f8gn.<\/p>\n

Deltakere som ba om algoritmiske prediksjoner, viste en beskyldningsrate p\u00e5 nesten 85% n\u00e5r den antydet at utsagnet var falskt. Utgangspunktet for dem som ikke ba om maskinprediksjoner, var 19,71%.<\/p>\n

Folk som er \u00e5pne for ideen om en AI-l\u00f8gndetektor, er mer tilb\u00f8yelige til \u00e5 si at det er tull n\u00e5r de ser det r\u00f8de lyset blinke.<\/p>\n

Forskerne foresl\u00e5r at \"En plausibel forklaring er at en tilgjengelig l\u00f8gndeteksjonsalgoritme gir mulighet til \u00e5 overf\u00f8re ansvaret for beskyldninger fra en selv til det maskinl\u00e6rende systemet.\"<\/p>\n

\"Det er ikke jeg som kaller deg en l\u00f8gner, det er maskinen.<\/p>\n

Dette forandrer alt<\/h2>\n

Hva ville skje i samfunnet v\u00e5rt hvis det var fire ganger mer sannsynlig at folk begynte \u00e5 kalle hverandre for l\u00f8gnere?<\/p>\n

Forskerne konkluderte med at hvis folk stolte p\u00e5 at kunstig intelligens skulle v\u00e6re sannhetsformidleren, kunne det ha et sterkt forstyrrende potensial.<\/p>\n

I artikkelen heter det at \"h\u00f8ye anklagerater kan belaste samfunnsstrukturen v\u00e5r ved \u00e5 skape generell mistillit og ytterligere \u00f8ke polariseringen mellom grupper som allerede har vanskelig for \u00e5 stole p\u00e5 hverandre\".<\/p>\n

En n\u00f8yaktig AI-l\u00f8gndetektor vil ogs\u00e5 ha positive effekter. Den kan identifisere AI-generert desinformasjon og falske nyheter, hjelpe til i forretningsforhandlinger eller bekjempe forsikringssvindel.<\/p>\n

Hva med etikken i bruken av et slikt verkt\u00f8y? Kan grenseagenter bruke det til \u00e5 avdekke om en migrants asyls\u00f8knad er sann eller oppdiktet?<\/p>\n

Mer avanserte modeller enn BERT vil sannsynligvis bidra til at AIs l\u00f8gndeteksjon blir s\u00e5 n\u00f8yaktig at det blir altfor lett \u00e5 oppdage menneskelige fors\u00f8k p\u00e5 bedrag.<\/p>\n

Forskerne konkluderte med at deres \"forskning understreker det presserende behovet for et omfattende politisk rammeverk for \u00e5 h\u00e5ndtere effekten av AI-drevne l\u00f8gndeteksjonsalgoritmer\".<\/p>","protected":false},"excerpt":{"rendered":"

Forskere fra universitetet i W\u00fcrzburg og Max-Planck-instituttet for menneskelig utvikling har trent opp en AI-modell til \u00e5 oppdage l\u00f8gner, og det kan endre m\u00e5ten vi omg\u00e5s hverandre p\u00e5. Mennesker er ikke s\u00e5 gode til \u00e5 avgj\u00f8re om en person lyver eller snakker sant. Eksperimenter viser at treffprosenten v\u00e5r i beste fall ligger p\u00e5 rundt 50%, og denne d\u00e5rlige prestasjonen dikterer hvordan vi omg\u00e5s hverandre. Teorien om sannhet som standard (TDT) sier at folk vanligvis vil anta at det en person forteller dem, er sant. Den sosiale kostnaden ved \u00e5 kalle personen en l\u00f8gner er for stor med<\/p>","protected":false},"author":6,"featured_media":13339,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[103],"class_list":["post-13337","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-debate"],"yoast_head":"\nAI lie detector beats humans and could be socially disruptive | 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\/2024\/07\/ai-lie-detector-beats-humans-and-could-be-socially-disruptive\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI lie detector beats humans and could be socially disruptive | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from the University of W\u00fcrzburg and the Max-Planck Institute for Human Development trained an AI model to detect lies and it could disrupt the way we engage with each other. 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