{"id":2878,"date":"2023-07-22T20:51:19","date_gmt":"2023-07-22T20:51:19","guid":{"rendered":"https:\/\/dailyai.com\/?p=2878"},"modified":"2023-07-22T23:07:42","modified_gmt":"2023-07-22T23:07:42","slug":"generative-ai-is-leveling-up-fake-reviews","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/07\/generative-ai-is-leveling-up-fake-reviews\/","title":{"rendered":"Generativ AI udj\u00e6vner falske anmeldelser"},"content":{"rendered":"

Falske anmeldelser er allestedsn\u00e6rv\u00e6rende og uundg\u00e5elige, men de har aldrig v\u00e6ret s\u00e5 sv\u00e6re at identificere. <\/strong><\/p>\n

If\u00f8lge nogle sk\u00f8n, <\/span>40% af Amazon-anmeldelserne er falske<\/span><\/a>men det g\u00e6lder ogs\u00e5 sider som Trustpilot, Tripadvisor og Google Reviews. <\/span><\/p>\n

I april, <\/span>CNBC rapporterede<\/span><\/a> at nogle Amazon-anmeldelser afsl\u00f8rer deres oprindelse ved at begynde deres beskrivelse med \"Som en AI-sprogmodel ...\" Men for det meste er AI-genererede falske anmeldelser udfordrende at identificere med det blotte \u00f8je.\u00a0<\/span><\/p>\n

I et fors\u00f8g p\u00e5 at sl\u00e5 ned p\u00e5 falske anmeldelser diskuterede Federal Trade Commission (FTC) for nylig at indf\u00f8re regler for at forbyde falske og betalte anmeldelser med h\u00e5rde straffe til alle, der overtr\u00e6der dem.\u00a0<\/span><\/p>\n

Michael Atleson, advokat i FTC's afdeling for reklamepraksis, sagde: \"Vi ved ikke - har virkelig ingen mulighed for at vide - i hvilket omfang d\u00e5rlige akt\u00f8rer faktisk bruger nogen af disse v\u00e6rkt\u00f8jer, og hvor meget der kan v\u00e6re botgenereret i forhold til menneskeskabt.\"<\/span><\/p>\n

Men det kr\u00e6ver, at man kan skelne mellem falske og \u00e6gte anmeldelser, og det er meget sv\u00e6rt nu, hvor AI er sprogligt pr\u00e6cis og har viden om en lang r\u00e6kke emner.\u00a0<\/span><\/p>\n

AI forbedrer falske anmeldelser<\/span><\/h2>\n

Fakespot, en startup, der anvender AI til at skelne mellem falske anmeldelser, har if\u00f8lge CEO Saoud Khalifah registreret en stigning i AI-genererede falske anmeldelser. Virksomheden investerer nu i teknikker, der er designet til at identificere anmeldelser, der er skabt af AI-systemer som ChatGPT.<\/span><\/p>\n

\"Det, der er meget anderledes i dag, er, at modellerne er s\u00e5 vidende, at de kan skrive om hvad som helst,\" siger Khalifah.<\/span><\/p>\n

Et andet sp\u00f8rgsm\u00e5l er, hvem kan sige, at nogen ikke bruger AI til at hj\u00e6lpe dem med at skrive en autentisk anmeldelse?\u00a0<\/span><\/p>\n

AI-genererede anmeldelser er ikke helt i strid med Amazons politik. If\u00f8lge en <\/span>Virksomhedens talsmand<\/span><\/a>giver virksomheden kunderne mulighed for at skrive AI-skabte anmeldelser, s\u00e5 l\u00e6nge de er autentiske og overholder de politiske retningslinjer.<\/span><\/p>\n

Det centrale sp\u00f8rgsm\u00e5l er, om den AI, der har til opgave at opdage falske anmeldelser, kan overliste den AI, der genererer dem. Saoud Khalifah fra Fakespot bem\u00e6rkede, at de f\u00f8rste AI-genererede falske anmeldelser, som hans virksomhed opdagede, stammede fra Indien og var skabt af \"falske anmeldelsesfarme\".<\/span><\/p>\n

\"Det er bestemt en sv\u00e6r test at best\u00e5 for disse detektionsv\u00e6rkt\u00f8jer\", siger Bhuwan Dhingra, der er adjunkt i datalogi ved Duke University. \"For hvis modellerne svarer n\u00f8jagtigt til den m\u00e5de, mennesker skriver noget p\u00e5, s\u00e5 kan man ikke rigtig skelne mellem de to.\"<\/span><\/p>\n

Ben Zhao, professor i datalogi ved University of Chicago, h\u00e6vdede ligeledes, at det er \"n\u00e6sten umuligt\" for AI effektivt at fange AI-genererede anmeldelser.\u00a0<\/span><\/p>\n

\"Det er en l\u00f8bende katten-efter-musen-jagt, men der er i sidste ende ikke noget grundl\u00e6ggende, der adskiller et AI-skabt stykke indhold\", siger han.<\/span><\/p>\n

Indtil videre vil falske anmeldelser fortsat v\u00e6re en del af internettets inventar, og de vil sandsynligvis blive stadig sv\u00e6rere at skelne fra den \u00e6gte vare, b\u00e5de for mennesker og de avancerede AI-systemer, der har til opgave at identificere dem.\u00a0<\/span><\/p>\n

\"Det er skr\u00e6mmende for forbrugerne\", siger Teresa Murray, direkt\u00f8r for forbrugernes vagthundskontor for U.S. Public Interest Research Group.\u00a0<\/span><\/p>\n

\"Allerede nu hj\u00e6lper kunstig intelligens u\u00e6rlige virksomheder med at spytte \u00e6gte anmeldelser ud i tusindvis i l\u00f8bet af f\u00e5 sekunder.\"<\/span><\/p>\n

Borte er dagene med d\u00e5rligt skrevne falske anmeldelser - G\u00f8r dig klar til pr\u00e6cist skrevne AI-anmeldelser, som du ikke kan skelne fra den \u00e6gte vare. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

Falske anmeldelser er allestedsn\u00e6rv\u00e6rende og uundg\u00e5elige, men de har aldrig v\u00e6ret s\u00e5 sv\u00e6re at identificere. If\u00f8lge nogle sk\u00f8n er 40% af Amazon-anmeldelserne falske, men det g\u00e6lder ogs\u00e5 sider som Trustpilot, Tripadvisor og Google Reviews. I april rapporterede CNBC, at nogle Amazon-anmeldelser afsl\u00f8rer deres oprindelse ved at begynde deres beskrivelse med \"Som en AI-sprogmodel ...\" Men for det meste er AI-genererede falske anmeldelser udfordrende at identificere med det blotte \u00f8je. I et fors\u00f8g p\u00e5 at sl\u00e5 ned p\u00e5 falske anmeldelser diskuterede Federal Trade Commission (FTC) for nylig at indf\u00f8re regler for at forbyde falske og betalte anmeldelser med<\/p>","protected":false},"author":2,"featured_media":2880,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[115,94,240],"class_list":["post-2878","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-chatgpt","tag-deep-fakes","tag-fake-reviews"],"yoast_head":"\nGenerative AI is leveling up fake reviews | DailyAI<\/title>\n<meta name=\"description\" content=\"AI-generated reviews have become extremely hard to detect with the advent of advanced large language models (LLMs).\" \/>\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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