{"id":701758,"date":"2025-01-22T16:45:59","date_gmt":"2025-01-22T15:45:59","guid":{"rendered":"https:\/\/www.devoteam.com\/expert-view\/human-in-the-loop-what-how-and-why\/"},"modified":"2025-08-25T10:09:36","modified_gmt":"2025-08-25T08:09:36","slug":"human-in-the-loop-what-how-and-why","status":"publish","type":"expert-view","link":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/","title":{"rendered":"Human-In-The-Loop: Vad, Hur och Varf\u00f6r"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-introduktion\"><strong><strong>Introduktion<\/strong><\/strong><\/h2>\n\n\n\n<p class=\"wp-block-yoast-seo-estimated-reading-time yoast-reading-time__wrapper\"><span class=\"yoast-reading-time__icon\"><svg aria-hidden=\"true\" focusable=\"false\" data-icon=\"clock\" width=\"20\" height=\"20\" fill=\"none\" stroke=\"currentColor\" style=\"display:inline-block;vertical-align:-0.1em\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M12 8v4l3 3m6-3a9 9 0 11-18 0 9 9 0 0118 0z\"><\/path><\/svg><\/span><span class=\"yoast-reading-time__spacer\" style=\"display:inline-block;width:1em\"><\/span><span class=\"yoast-reading-time__descriptive-text\">Estimated reading time: <\/span><span class=\"yoast-reading-time__reading-time\">14<\/span><span class=\"yoast-reading-time__time-unit\"> minuter<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Fr\u00e5n fakturahantering till medicinska diagnoser beh\u00f6ver de mest avancerade AI-systemen fortfarande en hemlig ingrediens f\u00f6r att lyckas: m\u00e4nniskor. Det m\u00e4nskliga elementet s\u00e4kerst\u00e4ller att AI-systemen \u00e4r intelligenta och anpassade till v\u00e5ra v\u00e4rderingar och behov, vilket m\u00f6jligg\u00f6r mer p\u00e5litliga och robusta resultat. Det \u00e4r h\u00e4r konceptet \u201dhuman-in-the-loop &#8211; m\u00e4nniskan i loopen\u201d kommer in i bilden.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Vad \u00e4r human-in-the-loop (HITL)? F\u00f6lj med n\u00e4r jag utforskar detta koncept och dess betydelse inom maskininl\u00e4rning. Vi kommer att diskutera definitionerna och verkliga till\u00e4mpningarna av HITL, analysera dess f\u00f6rdelar och utmaningar f\u00f6r att f\u00f6rst\u00e5 dess roll i AI:s framtid.<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size wp-block-paragraph\"><strong><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">Ladda ner: Free AI Strategy Playbook<\/a><\/strong><br><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">[New 2025]<\/a><\/strong><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group has-gray-light-background-color has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-03cab32d wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--medium);padding-right:var(--wp--preset--spacing--medium);padding-bottom:var(--wp--preset--spacing--medium);padding-left:var(--wp--preset--spacing--medium)\">\n<div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><h3><strong><strong>I den h\u00e4r artikeln kommer vi att diskutera:<\/strong>&nbsp;<\/strong><\/h3><ul><li><a href=\"#h-introduktion\" data-level=\"2\">Introduktion<\/a><\/li><li><a href=\"#h-vad-ar-human-in-the-loop-metoden\" data-level=\"2\">Vad \u00c4r Human-In-The-Loop Metoden<\/a><\/li><li><a href=\"#h-hur-fungerar-human-in-the-loop-och-hur-implementeras-det\" data-level=\"2\">Hur Fungerar Human-In-The-Loop och Hur Implementeras Det<\/a><\/li><li><a href=\"#h-varfor-behover-vi-human-in-the-loop\" data-level=\"2\">Varf\u00f6r Beh\u00f6ver Vi Human-In-The-Loop<\/a><\/li><li><a href=\"#h-anvandningsfall-och-tillampningar-av-human-in-the-loop\" data-level=\"2\">Anv\u00e4ndningsfall och Till\u00e4mpningar av Human-In-The-Loop<\/a><\/li><li><a href=\"#h-human-in-the-loop-och-ai-s-framtid\" data-level=\"2\">Human-In-The-Loop och AI:s framtid<\/a><\/li><li><a href=\"#h-slutsats\" data-level=\"2\">Slutsats<\/a><\/li><li><a href=\"#h-over-80-av-ai-projekten-misslyckas-dina-behover-inte-gora-det\" data-level=\"2\">\u00d6ver 80% av AI-projekten misslyckas Dina beh\u00f6ver inte g\u00f6ra det.<\/a><\/li><\/ul><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-vad-ar-human-in-the-loop-metoden\"><strong><strong>Vad \u00c4r<\/strong> Human-In-The-Loop Metoden<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Human-in-the-loop (HITL) kombinerar m\u00e4nsklig intelligens med maskininl\u00e4rningsf\u00f6rm\u00e5gor. Det inneb\u00e4r aktivt och kontinuerligt m\u00e4nskligt deltagande, d\u00e4r m\u00e4nniskor integreras i AI-processfl\u00f6det. M\u00e5let \u00e4r att anv\u00e4nda m\u00e4nsklig input f\u00f6r att maximera AI:s potential samtidigt som dess risker minskas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Konceptet uppstod fr\u00e5n artificiell intelligens (AI) och m\u00e4nniska-datorinteraktion (HCI). N\u00e4r AI-systemen blev mer komplexa ins\u00e5g forskare och utvecklare behovet av m\u00e4nsklig iblandning och v\u00e4gledning f\u00f6r att s\u00e4kerst\u00e4lla noggrannhet, s\u00e4kerhet och etiska \u00f6verv\u00e4ganden.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Betyder detta att andra AI-system inte involverar m\u00e4nniskor? Det \u00e4r h\u00e4r det blir lite mer komplicerat, och f\u00f6r att f\u00f6rst\u00e5 det m\u00e5ste vi titta p\u00e5 ett relaterat koncept: &#8221;human-on-the-loop&#8221;.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-human-in-the-loop-vs-human-on-and-outside-the-loop\"><strong>Human-In-The-Loop vs Human-on- (and Outside) The-Loop<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Human-on-the-loop (eller human-over-the-loop)<\/strong> metoden kombinerar ocks\u00e5 m\u00e4nsklig intelligens med maskininl\u00e4rning f\u00f6r att f\u00f6rb\u00e4ttra resultat, mycket likt human-in-the-loop metoden. TT\u00e4nk p\u00e5 det som ett system d\u00e4r en m\u00e4nniska agerar som handledare och ingriper vid behov. Vi har fortfarande det m\u00e4nskliga elementet, men slutanv\u00e4ndaren kan se systemets resultat f\u00f6re m\u00e4nsklig verifiering. I denna metod beh\u00f6ver m\u00e4nniskor inte vara involverade i varje beslut men kan ingripa f\u00f6r att korrigera fel, justera parametrar eller hantera undantag.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I human-in-the-loop metoden kan slutanv\u00e4ndare inte se resultaten f\u00f6rr\u00e4n en m\u00e4nniska verifierar dem. M\u00e4nniskor \u00e4r aktivt och kontinuerligt involverade i beslutsprocessen. HITL inneb\u00e4r en mer praktisk metod, d\u00e4r m\u00e4nniskor ger feedback, korrigerar fel och v\u00e4gleder AI-modellen under hela processen.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-har-ar-en-tabell-som-jamfor-de-tva-modellerna\">H\u00e4r \u00e4r en tabell som j\u00e4mf\u00f6r de tv\u00e5 modellerna:<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-secondary-background-color has-background has-border-color has-gray-border-color has-fixed-layout\"><tbody><tr><td><strong>Metod<\/strong><\/td><td><strong>Human-in-the-Loop (HITL)<\/strong><\/td><td><strong>Human-on-the-Loop<\/strong><\/td><\/tr><tr><td><strong><strong>M\u00e4nsklig involvering<\/strong><\/strong><\/td><td>Aktivt och kontinuerligt deltagande. M\u00e4nniskor \u00e4r integrerade i AI-processfl\u00f6det.<\/td><td>\u00d6vervakar AI-systemet. Ingriper endast vid behov.<\/td><\/tr><tr><td><strong><strong>Tidpunkt f\u00f6r ingripande<\/strong><\/strong><\/td><td>M\u00e4nsklig input kr\u00e4vs innan resultaten presenteras f\u00f6r slutanv\u00e4ndaren. AI-resultat blockeras tills m\u00e4nsklig granskning.<\/td><td>AI-resultat presenteras direkt f\u00f6r slutanv\u00e4ndaren, \u00e4ven om de inte \u00e4r perfekta. M\u00e4nsklig intervention sker efter\u00e5t.<\/td><\/tr><tr><td><strong>Grad av inblandning<\/strong><\/td><td>M\u00e4nniskor ger feedback, korrigerar fel och v\u00e4gleder AI-modellen under hela processen. M\u00e4nsklig input formar AI:s output och framtida bearbetning.<\/td><td>M\u00e4nniskor har en mer \u00f6vervakande roll och korrigerar resultaten efter att de har genererats och presenterats f\u00f6r anv\u00e4ndare.<\/td><\/tr><tr><td><strong><strong>Anv\u00e4ndningsfall<\/strong><\/strong><\/td><td>L\u00e4mplig f\u00f6r anv\u00e4ndningsfall d\u00e4r h\u00f6g noggrannhet \u00e4r avg\u00f6rande. Exempel: riskbed\u00f6mning av l\u00e5n och  fastst\u00e4llande av medicinsk diagnos.<\/td><td>L\u00e4mplig f\u00f6r anv\u00e4ndningsfall d\u00e4r vissa fel \u00e4r acceptabla och snabbhet \u00e4r en prioritet. Exempel: m\u00e4rkning av dokument och moderering av inneh\u00e5ll.<\/td><\/tr><tr><td><strong><strong>Feltolerans<\/strong><\/strong><\/td><td>L\u00e5g tolerans f\u00f6r fel.<\/td><td>H\u00f6gre tolerans f\u00f6r fel.<\/td><\/tr><tr><td><strong>M\u00e5l<\/strong><\/td><td>Att maximera noggrannhet, tillf\u00f6rlitlighet och etiska \u00f6verv\u00e4ganden, samtidigt som kontinuerlig inl\u00e4rning av AI-modellen m\u00f6jligg\u00f6rs.<\/td><td>Att snabbt tillhandah\u00e5lla AI-resultat, med viss m\u00e4nsklig \u00f6vervakning.<\/td><\/tr><tr><td><strong>Feedback<\/strong><\/td><td>M\u00e4nsklig feedback modifierar aktivt AI:s utdata f\u00f6r att bli mer korrekt.<\/td><td>M\u00e4nsklig feedback korrigerar fel i utdata efter dess generering.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Sammanfattningsvis, medan b\u00e5da metoderna involverar m\u00e4nsklig input, g\u00f6r de det p\u00e5 olika s\u00e4tt. Human-in-the-loop metoden integrerar m\u00e4nniskor direkt i AI-processen f\u00f6r att kontinuerligt f\u00f6rfina resultat, medan human-on-the-loop system anv\u00e4nder m\u00e4nsklig \u00f6vervakning f\u00f6r att korrigera resultat efter att de har producerats. I den andra metoden kan m\u00e4nsklig feedback ocks\u00e5 anv\u00e4ndas f\u00f6r att tr\u00e4na om modellen, men det \u00e4r inte en naturlig del av processen. Valet mellan de tv\u00e5 beror p\u00e5 anv\u00e4ndningsomr\u00e5dets specifika behov och begr\u00e4nsningar.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-human-out-of-the-loop\"><strong>Human-out-of-the-loop<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Men vad h\u00e4nder om vi tar bort m\u00e4nniskan fr\u00e5n loopen?&nbsp; <strong>Human-out-of-the-loop<\/strong> metoden fungerar utan m\u00e4nsklig intervention. Dessa system fattar beslut och vidtar \u00e5tg\u00e4rder oberoende baserat p\u00e5 deras programmering och tr\u00e4ningsdata. M\u00e4nniskor kan ha designat systemet och st\u00e4llt in dess initiala parametrar, men de \u00e4r inte aktivt involverade i dess p\u00e5g\u00e5ende drift. Dessa system kr\u00e4ver autonomt beslutsfattande, d\u00e4r \u00f6verdriven m\u00e4nsklig intervention i processen varken \u00e4r praktisk eller \u00f6nskv\u00e4rd.<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size wp-block-paragraph\"><strong><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\"><strong>Ladda ner<\/strong>: Free AI Strategy Playbook<\/a><\/strong><br><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">[New 2025]<\/a><\/strong><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-hur-fungerar-human-in-the-loop-och-hur-implementeras-det\"><strong><strong>Hur Fungerar<\/strong> Human-In-The-Loop och Hur Implementeras Det<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Human-in-the-loop (HITL) processen \u00e4r iterativ, med en kontinuerlig cykel av datainsamling, modelltr\u00e4ning, m\u00e4nsklig feedback och modellf\u00f6rfining.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full has-custom-border\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/01\/Your-paragraph-text-1-1.png\" alt=\"Infographic with 4 stages of human in the loop systems - Setup and data collection, Model Training and Initial Output, Human Feedback and Verification and Model Refinement and Iteration\" class=\"has-border-color has-gray-border-color wp-image-473288\" style=\"border-width:1px\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/01\/Your-paragraph-text-1-1.png 500w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/01\/Your-paragraph-text-1-1-300x300.png 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/01\/Your-paragraph-text-1-1-150x150.png 150w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><figcaption class=\"wp-element-caption\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-main-color\">Infografik med 4 steg av Human in the loop cykler<\/mark><\/figcaption><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-lat-oss-titta-pa-hur-man-implementerar-ett-human-in-the-loop-system-genom-att-analysera-varje-cykel\">L\u00e5t oss titta p\u00e5 hur man implementerar ett human-in-the-loop system genom att analysera varje cykel:<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong><strong>Initial Installation och Datainsamling<\/strong><br><\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Definiera problemet<\/strong>: Definiera tydligt utmaningen och de m\u00e5l du vill uppn\u00e5. \u00d6verv\u00e4g det \u00f6nskade resultatet, vare sig det \u00e4r f\u00f6rb\u00e4ttrad noggrannhet, \u00f6kad effektivitet eller \u00f6kat f\u00f6rtroende.<\/li>\n\n\n\n<li><strong>Samla in initial data<\/strong>: Samla in den data som kr\u00e4vs f\u00f6r att tr\u00e4na AI-modellen. Detta kan vara befintlig m\u00e4rkt data eller ny data. Om ingen m\u00e4rkt data finns, be de ansvariga f\u00f6r processen att m\u00e4rka en liten initial datam\u00e4ngd.<\/li>\n\n\n\n<li><strong>Dataf\u00f6rberedelse<\/strong>: F\u00f6rbered data f\u00f6r anv\u00e4ndning av en AI. Detta kan inneb\u00e4ra att transformera text eller andra dataformat till ett format som en AI-algoritm kan anv\u00e4nda.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Modelltr\u00e4ning och Initial Utdata<br><\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Tr\u00e4na en initial modell<\/strong>: Anv\u00e4nd den m\u00e4rkta datan f\u00f6r att tr\u00e4na en prelimin\u00e4r AI-modell. Denna initiala modell beh\u00f6ver inte vara s\u00e4rskilt noggrann.<\/li>\n\n\n\n<li><strong>Generera initiala outputs<\/strong>: Anv\u00e4nd AI-modellen f\u00f6r att generera outputs baserat p\u00e5 ny data. I detta skede kommer modellens noggrannhet sannolikt att vara ofullkomlig.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong><strong>M\u00e4nsklig Feedback och Verifiering<\/strong><br><\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>M\u00e4nsklig granskning<\/strong>: L\u00e5t m\u00e4nniskor granska modellens outputs, markera eventuella fel och gr\u00e4nsfall.<\/li>\n\n\n\n<li><strong>Aktiv korrigering<\/strong>: I detta skede korrigerar m\u00e4nniskor fel och ger riktlinjer f\u00f6r korrekt bearbetning.<\/li>\n\n\n\n<li><strong>Insamling av feedback<\/strong>: S\u00e4tt upp system f\u00f6r att samla in feedback, korrigeringar och ytterligare information fr\u00e5n m\u00e4nniskor i loopen.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Modellf\u00f6rfining och Iteration<br><\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Tr\u00e4na om modellen<\/strong>: Inkludera den m\u00e4nskligt korrigerade datan i tr\u00e4ningsm\u00e4ngden och tr\u00e4na om modellen.<\/li>\n\n\n\n<li><strong>Aktiv inl\u00e4rning<\/strong>: Anv\u00e4nd aktiva inl\u00e4rningstekniker f\u00f6r att v\u00e4lja de mest informativa exemplen f\u00f6r modellf\u00f6rfining. Du kan till exempel tr\u00e4na modellen med hj\u00e4lp av gr\u00e4nsfall och avvikelser f\u00f6r att f\u00f6rb\u00e4ttra noggrannheten inom dessa omr\u00e5den.<\/li>\n\n\n\n<li><strong>Iterera<\/strong>: Upprepa generering av outputs, insamling av feedback och omtr\u00e4ning av modellen. Detta \u00e4r en p\u00e5g\u00e5ende cykel. Med varje iteration b\u00f6r modellen bli mer noggrann och kr\u00e4va mindre m\u00e4nsklig intervention.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-implementering-av-hitl-system\"><strong><strong>Implementering av<\/strong> HITL System<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Vi har flera v\u00e4gar n\u00e4r vi v\u00e4ljer verktyg och plattformar f\u00f6r HITL-implementering. Molnleverant\u00f6rer erbjuder hanterade tj\u00e4nster och omfattande verktyg f\u00f6r att bygga skalbara och flexibla m\u00e4nniskan i loopen-system, vilket g\u00f6r dem idealiska f\u00f6r stora projekt eller de som beh\u00f6ver integreras med befintlig molninfrastruktur. Specialiserade HITL-plattformar som Scale AI och Labelbox prioriterar anv\u00e4ndarv\u00e4nlighet och tillhandah\u00e5ller end-to-end-l\u00f6sningar, medan \u00f6ppen k\u00e4llkodsverktyg ger h\u00f6g flexibilitet och anpassning men kr\u00e4ver mer teknisk expertis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Devoteam samarbetar med ledande molnleverant\u00f6rer som AWS, Microsoft Azure och GCP, samt med den molnbaserade aff\u00e4rsplattformen ServiceNow. V\u00e5ra experter kan hj\u00e4lpa dig att utveckla m\u00e4nniskan i loopen-system integrerade med din befintliga infrastruktur, med hj\u00e4lp av l\u00e4ttillg\u00e4ngliga verktyg eller genom att designa en anpassad l\u00f6sning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Jag konsulterade Devoteams AI-experter f\u00f6r att dela en \u00f6versikt \u00f6ver implementering av&nbsp;human-in-the-loop l\u00f6sningar f\u00f6r varje plattform.<br><strong><strong>H\u00e4r \u00e4r vad de ledande leverant\u00f6rerna erbjuder f\u00f6r<\/strong> human-in-the-loop implementationer:<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column has-secondary-background-color has-background is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:var(--wp--preset--spacing--small);padding-right:var(--wp--preset--spacing--small);padding-bottom:var(--wp--preset--spacing--small);padding-left:var(--wp--preset--spacing--small)\">\n<h4 class=\"wp-block-heading\" id=\"h-aws\"><a href=\"https:\/\/devoteam.info\/se\/amazon-web-services\/aws-generativ-ai\/\">AWS<\/a><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><em><kbd>av N\u2019Bouyaa Kassinga, AI\/MLOps Engineer p\u00e5 Devoteam, AWS <em>aff\u00e4rsenhet<\/em><\/kbd><\/em><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong><strong>L\u00f6sning\/funktion:<\/strong> <\/strong> Amazon Augmented AI(A2I), Sagemaker&nbsp; Ground Truth, Amazon Rekognition Custom Labels<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong>Beskrivning:&nbsp;<\/strong><\/span>AWS erbjuder robusta human-in-the-loop-l\u00f6sningar med A2I f\u00f6r att granska AI-modellers f\u00f6ruts\u00e4gelser med l\u00e5g s\u00e4kerhet. Du kan ocks\u00e5 anv\u00e4nda SageMaker Ground Truth f\u00f6r att skapa etiketterade tr\u00e4ningsdataupps\u00e4ttningar med m\u00e4nsklig input, samt Amazon Rekognition Custom Labels f\u00f6r att bygga anpassade bildmodeller med manuell etikettering. Dessa tj\u00e4nster s\u00e4kerst\u00e4ller precision och p\u00e5litlighet i AI-arbetsfl\u00f6den. Vid behov kan anpassade human-in-the-loop-l\u00f6sningar ocks\u00e5 byggas med hj\u00e4lp av en kombination av AWS-tj\u00e4nster som Lambda, Step Functions och S3.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column has-secondary-background-color has-background is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:var(--wp--preset--spacing--small);padding-right:var(--wp--preset--spacing--small);padding-bottom:var(--wp--preset--spacing--small);padding-left:var(--wp--preset--spacing--small)\">\n<h4 class=\"wp-block-heading\" id=\"h-google-cloud-platform\"><a href=\"https:\/\/devoteam.info\/se\/google-cloud\/google-cloud-ai-och-ml\/\">Google Cloud Platform<\/a><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><em><kbd>av Kais Albichari, Head of Machine Learning, Devoteam Belux, Google Cloud <em><kbd><em>aff\u00e4rsenhet<\/em><\/kbd><\/em><\/kbd><\/em><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong><strong><strong>L\u00f6sning\/funktion<\/strong><\/strong>: <\/strong> Document AI, Vertex AI Datasets (kommer snart att avvecklas), anpassade l\u00f6sningar<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong>Beskrivning<\/strong><\/span>: <\/strong>\u00c4ven om GCP har avvecklat sina inbyggda funktioner f\u00f6r human-in-the-loop (HITL) inom Document AI, erbjuder Devoteam ett robust alternativ. Devoteams &#8221;Custom Labelling Interface&#8221; \u00e4r en helt anpassningsbar l\u00f6sning som \u00e4r utformad f\u00f6r att s\u00f6ml\u00f6st integrera m\u00e4nsklig granskning och korrigering i dina arbetsfl\u00f6den f\u00f6r dokumentbehandling. Denna l\u00f6sning anv\u00e4nder sig av Google Cloud-tj\u00e4nster som Cloud Run, Cloud Storage och ett flexibelt ramverk f\u00f6r att skapa ett anv\u00e4ndarv\u00e4nligt gr\u00e4nssnitt f\u00f6r m\u00e4nskliga granskare.  <a href=\"https:\/\/cloud.google.com\/document-ai\/docs\/hitl\">Som Google Cloud certifierad partner<\/a> har Devoteam expertisen att skr\u00e4ddarsy denna l\u00f6sning efter dina specifika behov och s\u00e4kerst\u00e4lla en effektiv och korrekt dokumentbehandling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">F\u00f6r en djupare inblick i hur Human-in-the-Loop implementeras i Google Cloud, utforska v\u00e5r dedikerade <a href=\"https:\/\/devoteam.info\/google-cloud-human-in-the-loop\/\">Google Cloud Human in the loop service<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column has-secondary-background-color has-background is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:var(--wp--preset--spacing--small);padding-right:var(--wp--preset--spacing--small);padding-bottom:var(--wp--preset--spacing--small);padding-left:var(--wp--preset--spacing--small)\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h4 class=\"wp-block-heading\" id=\"h-microsoft-azure\"><strong><a href=\"https:\/\/devoteam.info\/se\/microsoft\/ai\/\">Microsoft Azure<\/a><\/strong><\/h4>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><em><kbd>av Jakob Leander, Technology &amp; Consulting Director, Devoteam, Microsoft <em>aff\u00e4rsenhet<\/em><\/kbd><\/em><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong><strong>L\u00f6sning\/funktion<\/strong>: <\/strong> Copilot UI, Power Platform<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong><strong>Beskrivning<\/strong>:&nbsp;<\/strong><\/span>Microsoft erbjuder en m\u00e4ngd verktyg f\u00f6r att mildra riskerna med AI-genererade svar och s\u00e4kerst\u00e4lla efterlevnad av regler som AI-lagen, inklusive Copilot UI, Power Platform och anpassade l\u00f6sningar. Med dessa teknologier kan organisationer integrera m\u00e4nskliga gransknings- och valideringssteg i sina AI-drivna processer, till exempel i HR-l\u00f6sningar. Detta kan inneb\u00e4ra att anv\u00e4nda Copilot UI f\u00f6r att presentera AI-genererade svar f\u00f6r m\u00e4nskliga granskare f\u00f6r godk\u00e4nnande\/avslag eller att anv\u00e4nda Power Platform f\u00f6r att bygga anpassade arbetsfl\u00f6den som dirigerar AI-outputs till utsedd personal f\u00f6r verifiering. Dessutom kan anpassade l\u00f6sningar utvecklas f\u00f6r att skr\u00e4ddarsy m\u00e4nsklig \u00f6vervakning efter specifika behov och sammanhang.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column has-secondary-background-color has-background is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:var(--wp--preset--spacing--small);padding-right:var(--wp--preset--spacing--small);padding-bottom:var(--wp--preset--spacing--small);padding-left:var(--wp--preset--spacing--small)\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h4 class=\"wp-block-heading\" id=\"h-servicenow\"><strong><a href=\"https:\/\/devoteam.info\/se\/servicenow\/\">ServiceNow<\/a><\/strong><\/h4>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><em><kbd>av Peter Skovgaard, Lead consultant and ServiceNow AI SME, Devoteam, ServiceNow <em>aff\u00e4rsenhet<\/em><\/kbd><\/em><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong><strong>L\u00f6sning\/funktion:<\/strong> <\/strong> Predictive intelligence, Document intelligence, Now Assist Gen AI<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong>Description:&nbsp;<\/strong><\/span>ServiceNow blandar konsekvent m\u00e4nsklig intelligens med AI:s kraft \u00f6ver hela sin plattform f\u00f6r att bygga kompletta, end-to-end-l\u00f6sningar. Human-in-the-loop \u00e4r k\u00e4rnan i denna metod, vilket ger team m\u00f6jlighet att v\u00e4gleda och f\u00f6rfina AI:s outputs och kontinuerligt bed\u00f6ma dess resultat i funktioner som prediktiv intelligens, dokumentintelligens och, naturligtvis, Now Assist Gen AI. Detta s\u00e4kerst\u00e4ller fullst\u00e4ndig kontroll \u00f6ver hur AI anv\u00e4nds, anpassar den s\u00f6ml\u00f6st till varje unik process och driver m\u00e4tbar ROI. ServiceNow erbjuder s\u00f6ml\u00f6sa integrationer med andra ledande AI-leverant\u00f6rer f\u00f6r mycket specialiserade behov, vilket ger full flexibilitet. Uppt\u00e4ck <a href=\"https:\/\/devoteam.info\/expert-view\/unlocking-itsm-excellence-with-generative-ai-in-the-servicenow-vancouver-release\/\">hur Human-in-the-Loop <\/a><a href=\"https:\/\/devoteam.info\/expert-view\/unlocking-itsm-excellence-with-generative-ai-in-the-servicenow-vancouver-release\/\">till\u00e4mpas i samband med ITSM och den senaste ServiceNow Vancouver-releasen, vilket f\u00f6rb\u00e4ttrar effektiviteten hos generativ AI.<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-varfor-behover-vi-human-in-the-loop\"><strong>Varf\u00f6r Beh\u00f6ver Vi Human-In-The-Loop<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nu vet vi vad human-in-the-loop \u00e4r och hur det fungerar, men vi m\u00e5ste ocks\u00e5 fr\u00e5ga oss varf\u00f6r vi skulle anv\u00e4nda denna metod. Det mest uppenbara svaret \u00e4r att det \u00e5tg\u00e4rdar flera kritiska begr\u00e4nsningar hos helt automatiserade AI-system och f\u00f6rb\u00e4ttrar deras \u00f6vergripande prestanda och tillf\u00f6rlitlighet. F\u00f6r mer om de potentiella nackdelarna med AI och vikten av ansvarsfulla AI-metoder, inklusive rollen f\u00f6r m\u00e4nsklig \u00f6vervakning, se v\u00e5r artikel om&nbsp;<a href=\"https:\/\/devoteam.info\/expert-view\/the-dark-sides-of-ai-you-need-to-be-aware-of\/\">AI:s m\u00f6rka sidor.<\/a><\/p>\n\n\n\n<div class=\"wp-block-group is-style-column-box-shadow has-gray-light-background-color has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-a9070b44 wp-block-group-is-layout-constrained\" style=\"border-radius:5px;padding-top:var(--wp--preset--spacing--large);padding-right:var(--wp--preset--spacing--large);padding-bottom:var(--wp--preset--spacing--large);padding-left:var(--wp--preset--spacing--large)\">\n<figure class=\"wp-block-image size-large is-resized wp-duotone-red-devoteam\"><img loading=\"lazy\" decoding=\"async\" width=\"24\" height=\"24\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/09\/citation-a-droite.svg\" alt=\"Quote\" class=\"wp-image-208\" style=\"width:28px;height:auto\"\/><\/figure>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><em>Ju mer AI och automation vi l\u00e4gger till, desto mer st\u00e4lls vi inf\u00f6r fr\u00e5gan &#8221;vad h\u00e4nder om AI:n har fel&#8221; .<em>F\u00f6r att \u00e5tg\u00e4rda det och vara<\/em><\/em> <em>kompatibel med AI-lagen och liknande regleringar, rekommenderar vi att ha en human-in-the-loop <em>f\u00f6r att validera det slutliga svaret eller \u00e5tg\u00e4rden.<\/em><\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-gray-color has-alpha-channel-opacity has-gray-background-color has-background is-style-separator-dotted is-style-default\" style=\"margin-top:var(--wp--preset--spacing--medium);margin-bottom:var(--wp--preset--spacing--medium)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-fe6f0742 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-full is-resized is-style-rounded-full is-style-rounded\"><img loading=\"lazy\" decoding=\"async\" width=\"1804\" height=\"1772\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/20230105_JakobLeander_p-scaled-e1691139554367.jpg\" alt=\"\" class=\"wp-image-170794\" style=\"width:60px;height:60px\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/20230105_JakobLeander_p-scaled-e1691139554367.jpg 1804w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/20230105_JakobLeander_p-scaled-e1691139554367-300x295.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/20230105_JakobLeander_p-scaled-e1691139554367-1024x1006.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/20230105_JakobLeander_p-scaled-e1691139554367-768x754.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/20230105_JakobLeander_p-scaled-e1691139554367-1536x1509.jpg 1536w\" sizes=\"auto, (max-width: 1804px) 100vw, 1804px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-0f66ae2b wp-block-group-is-layout-flex\">\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:500\">Jakob Leander <br>Technology &amp; Consulting Director, Devoteam<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"h-lat-oss-titta-djupare-pa-varfor-hitl-ar-viktigt\">L\u00e5t oss titta djupare p\u00e5 varf\u00f6r HITL \u00e4r viktigt:<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>F\u00f6rb\u00e4ttrad prestandam\u00e4tning<\/strong>: Med en human-in-the-loop, finns det ett strukturerat s\u00e4tt att m\u00e4ta en maskininl\u00e4rningsmodells prestanda. Detta \u00e4r avg\u00f6rande f\u00f6r att ber\u00e4kna avkastningen p\u00e5 investeringen f\u00f6r AI-anv\u00e4ndningsfallen.<br><\/li>\n\n\n\n<li><strong>Noggrannhet och tillf\u00f6rlitlighet<\/strong>: M\u00e4nsklig intervention kompenserar f\u00f6r AI-begr\u00e4nsningar i nyanserade beslutsfattanden, gr\u00e4nsfall och komplexa scenarier. Till exempel \u00e4r m\u00e4nsklig \u00f6vervakning avg\u00f6rande inom k\u00e4nsliga omr\u00e5den som medicinska diagnoser, juridiska granskningar och finansiell riskbed\u00f6mning.<br><\/li>\n\n\n\n<li><strong>Etiska \u00f6verv\u00e4ganden och minskning av bias<\/strong>: M\u00e4nniskor kan identifiera och korrigera bias i algoritmer och tr\u00e4ningsdata, vilket s\u00e4kerst\u00e4ller r\u00e4ttvisa och ansvarsfull AI-implementering. AI-modeller kan oavsiktligt vidmakth\u00e5lla befintliga bias i data, vilket leder till diskriminerande resultat. M\u00e4nsklig involvering \u00e4r avg\u00f6rande f\u00f6r att s\u00e4kerst\u00e4lla att AI-system inte anv\u00e4nds f\u00f6r att f\u00f6rst\u00e4rka samh\u00e4lleliga oj\u00e4mlikheter.<br><\/li>\n\n\n\n<li><strong>Anpassningsf\u00f6rm\u00e5ga och kontinuerlig inl\u00e4rning<\/strong>: M\u00e4nniskor ger feedback och etiketter f\u00f6r att f\u00f6rfina AI-modeller, vilket m\u00f6jligg\u00f6r kontinuerlig f\u00f6rb\u00e4ttring och anpassning till ny data och ov\u00e4ntade situationer. AI-modeller \u00e4r inte statiska; de beh\u00f6ver anpassa sig till ny information och f\u00f6r\u00e4nderliga milj\u00f6er. M\u00e4nsklig feedback \u00e4r avg\u00f6rande f\u00f6r att tr\u00e4na om modellen och inf\u00f6rliva nya och gr\u00e4nsfall f\u00f6r f\u00f6rb\u00e4ttring. P\u00e5 s\u00e5 s\u00e4tt underl\u00e4ttar metoden kontinuerlig inl\u00e4rning.<br><\/li>\n\n\n\n<li><strong>Bygga f\u00f6rtroende och anv\u00e4ndaracceptans<\/strong>: M\u00e4nsklig involvering \u00f6kar transparensen och f\u00f6rklarbarheten hos AI, vilket \u00e4r avg\u00f6rande f\u00f6r att fr\u00e4mja f\u00f6rtroende f\u00f6r AI-system, s\u00e4rskilt inom k\u00e4nsliga omr\u00e5den. F\u00f6rklarbar AI g\u00f6r det m\u00f6jligt f\u00f6r m\u00e4nniskor att f\u00f6rst\u00e5 resonemanget bakom resultaten som produceras av ett AI-system. Att f\u00f6rst\u00e5 varf\u00f6r AI producerade givna resultat och att veta att m\u00e4nskligt omd\u00f6me var en del av processen g\u00f6r m\u00e4nniskor&nbsp;<a href=\"https:\/\/technologyandsociety.org\/human-centricity-in-the-relationship-between-explainability-and-trust-in-ai\/\">mer ben\u00e4gna att lita p\u00e5 och acceptera dem<\/a>. Det kan ocks\u00e5 minska r\u00e4dslan f\u00f6r helt automatiserade system.<br><\/li>\n\n\n\n<li><strong>Optimering av arbetsfl\u00f6den<\/strong>: Systemet effektiviserar processer och optimerar arbetsfl\u00f6den genom att balansera m\u00e4nsklig och maskinell input. Det kan bidra till att minska medarbetarnas arbetsbelastning genom att automatisera rutinm\u00e4ssiga och repetitiva uppgifter, vilket g\u00f6r att de kan fokusera p\u00e5 sin k\u00e4rnverksamhet.<br><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-begransningar\">Begr\u00e4nsningar<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Medan human-in-the-loop (HITL)-system \u00e4r v\u00e4rdefulla har de ocks\u00e5 sina begr\u00e4nsningar. De kr\u00e4ver kontinuerlig \u00f6vervakning och justeringar f\u00f6r att bibeh\u00e5lla precision, vilket kan vara tidskr\u00e4vande. Dessutom kan HITL-system vara on\u00f6diga f\u00f6r vissa uppgifter. I vissa anv\u00e4ndningsfall kan human-over-the-loop eller till och med full automatisering vara mer f\u00f6rdelaktigt. Det \u00e4r d\u00e4rf\u00f6r vi alltid v\u00e4ljer den mest l\u00e4mpliga modellen f\u00f6r varje specifikt anv\u00e4ndningsfall.<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size wp-block-paragraph\"><strong><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">Ladda ner: Free AI Strategy Playbook<\/a><\/strong><br><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">[New 2025]<\/a><\/strong><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-anvandningsfall-och-tillampningar-av-human-in-the-loop\"><strong><strong>Anv\u00e4ndningsfall och Till\u00e4mpningar av<\/strong> Human-In-The-Loop<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Att v\u00e4lja r\u00e4tt modell f\u00f6r ett visst anv\u00e4ndningsfall kr\u00e4ver noggrant \u00f6verv\u00e4gande av olika faktorer, s\u00e5som uppgiftens natur, den n\u00f6dv\u00e4ndiga noggrannheten, etiska implikationer och praktiska begr\u00e4nsningar. Detta identifieras vanligtvis under f\u00f6rstudier och discovery sessions. Trots det finns det vissa anv\u00e4ndningsfall d\u00e4r ett human-in-the-loop-system ofta f\u00f6resl\u00e5s.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-har-ar-nagra-vanliga-fall-dar-hitl-metoden-ar-fordelaktig\">H\u00e4r \u00e4r n\u00e5gra vanliga fall d\u00e4r HITL-metoden \u00e4r f\u00f6rdelaktig:<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><strong>Dokumentbearbetning<\/strong><\/strong>: HITL kan automatisera extraktionen av information fr\u00e5n dokument som fakturor. En initial AI-modell extraherar informationen, och m\u00e4nskliga arbetare verifierar och korrigerar resultaten, vilket ger data f\u00f6r omtr\u00e4ning och f\u00f6rb\u00e4ttring av AI-modellen. <a href=\"https:\/\/devoteam.info\/success-story\/enabling-a-quicker-more-accurate-digitisation-process-for-unified-post-group\/\">Se projektet Devoteam slutf\u00f6rde<\/a>\u00a0f\u00f6r ett fintech-f\u00f6retag som f\u00f6rs\u00f6kte automatisera extraktionen av information fr\u00e5n kundfakturor eller l\u00e4s <a href=\"https:\/\/devoteam.info\/expert-view\/the-latest-updates-within-document-ai\/\">hur Document AI integrerar human-in-the-loop<\/a> <br><\/li>\n\n\n\n<li><strong>Inneh\u00e5llsmoderering:<\/strong>\u00a0HITL anv\u00e4nds ofta f\u00f6r att filtrera bort skadligt eller ol\u00e4mpligt inneh\u00e5ll p\u00e5 onlineplattformar. Detta inneb\u00e4r att m\u00e4nniskor granskar inneh\u00e5ll som flaggats av AI-algoritmer f\u00f6r att s\u00e4kerst\u00e4lla att det bryter mot gemenskapsriktlinjer eller lagliga best\u00e4mmelser.<br><\/li>\n\n\n\n<li><strong>Kundtj\u00e4nst:<\/strong>\u00a0HITL kan f\u00f6rb\u00e4ttra kundinteraktioner med hj\u00e4lp av chatbots och virtuella assistenter. I detta fall kan AI generera utkast till svar, men en m\u00e4nsklig representant l\u00e4gger till en personlig touch genom att modifiera meddelandet enligt den specifika situationen och anv\u00e4ndarkontexten. Detta s\u00e4kerst\u00e4ller effektiv och noggrann kundservice.<br><\/li>\n\n\n\n<li><strong>Sjukv\u00e5rd:<\/strong>\u00a0HITL kan hj\u00e4lpa till med medicinsk diagnos och behandlingsplanering. Till exempel kan AI analysera medicinska bilder och ge initiala diagnoser, och l\u00e4kare kan granska resultaten f\u00f6r noggrannhet och fatta det slutliga beslutet, samt identifiera gr\u00e4nsfall. L\u00e4s mer om hur <a href=\"https:\/\/devoteam.info\/expert-view\/how-ai-is-transforming-the-medicine-of-tomorrow\/\">AI f\u00f6r\u00e4ndrar morgondagens medin<\/a> och <a href=\"https:\/\/devoteam.infoe\/xpert-view\/ai-in-healthcare\/\">AI i sjukv\u00e5rden<\/a>. <br><\/li>\n\n\n\n<li><strong>Sj\u00e4lvk\u00f6rande bilar:<\/strong>\u00a0HITL spelar en avg\u00f6rande roll i tr\u00e4ning och validering av autonoma k\u00f6rsystem. I detta scenario kommer anv\u00e4ndardata att samlas in f\u00f6r att f\u00f6rst\u00e5 hur m\u00e4nniskor reagerar i olika k\u00f6rsituationer. Denna datainsamling kan vara en del av ett HITL-system, vilket kr\u00e4ver m\u00e4nsklig input f\u00f6r att s\u00e4kerst\u00e4lla att sj\u00e4lvk\u00f6rande system \u00e4r s\u00e4kra och tillf\u00f6rlitliga.<br><\/li>\n\n\n\n<li><strong><strong>Finans<\/strong>:<\/strong> Human-in-the-loop system kan anv\u00e4ndas f\u00f6r kreditanalys, d\u00e4r en bankman granskar filen innan den presenteras f\u00f6r anv\u00e4ndaren. <a href=\"https:\/\/devoteam.info\/success-story\/how-document-ai-streamlined-water-gas-and-electric-billing-for-an-sp500-listed-real-estate-investment-trust-reit\/\">L\u00e4s hur Devoteam hj\u00e4lpte till att effektivisera vatten-, gas- och elr\u00e4kningar f\u00f6r en Real Estate Investment Trust (REIT)<\/a>\u00a0med hj\u00e4lp av human-in-the-loop l\u00f6sningar.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Om du vill l\u00e4ra dig mer om AI:s transformativa kraft, kolla in\u00a0<a href=\"https:\/\/devoteam.info\/whitepaper\/ai-implementations-across-industries\/\">v\u00e5r e-bok med 50+ AI-anv\u00e4ndningsfall inom olika branscher.<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-human-in-the-loop-och-ai-s-framtid\"><strong>Human-In-The-Loop <strong>och AI:s framtid<\/strong><\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Jag tror att AI:s framtid \u00e4r t\u00e4tt sammankopplad med m\u00e4nniskans roll, d\u00e4r fokus ligger p\u00e5 samarbete och st\u00e4ndig f\u00f6rb\u00e4ttring. H\u00e4r \u00e4r n\u00e5gra av mina f\u00f6ruts\u00e4gelser om hur den framtiden kan se ut:<\/p>\n\n\n\n<ul style=\"line-height:1.8\" class=\"wp-block-list\">\n<li><strong>M\u00e4nniskans roll utvecklas:<\/strong> Till en b\u00f6rjan \u00e4r m\u00e4nniskor djupt involverade i att samla in, m\u00e4rka och korrigera AI-resultat. Allt eftersom modellerna blir b\u00e4ttre kommer behovet av direkt m\u00e4nsklig inblandning sannolikt att minska. D\u00e4remot kommer m\u00e4nniskans roll att utvecklas mot \u00f6vervakning p\u00e5 en h\u00f6gre niv\u00e5, v\u00e4gledning och mer komplexa beslutsfattande.<\/li>\n\n\n\n<li><strong>Generativ AI<\/strong>: Det kommer att l\u00e4ggas ett \u00f6kat fokus p\u00e5 att inkorporera human<strong>&#8211;<\/strong>in-the-loop i generativ AI. Detta inneb\u00e4r att m\u00e4nsklig feedback anv\u00e4nds f\u00f6r att finjustera generativa modeller f\u00f6r att uppn\u00e5 \u00f6kad precision och prestanda.<\/li>\n\n\n\n<li><strong>Etiska \u00f6verv\u00e4ganden:<\/strong> Det blir allt viktigare att minska partiskhet i AI genom att korrigera data och mata tillbaka ovanliga fall (edge cases) till modellen. Detta kan \u00f6ka transparensen och ansvarsfullheten i AI-systemen.<\/li>\n\n\n\n<li><strong>Teknologiska framsteg<\/strong>: Tekniker som aktivt l\u00e4rande, d\u00e4r modeller tr\u00e4nas p\u00e5 den mest informativa datan, kommer att bli allt vanligare.<\/li>\n\n\n\n<li><strong>F\u00f6rskjutning mot mer specialiserade modeller:<\/strong> Framtiden f\u00f6r AI r\u00f6r sig mot \u00f6kad specialisering och effektivitet. Stora spr\u00e5kmodeller som Gemini och GPT destilleras till mindre, mer fokuserade modeller som \u00e4r billigare att driva och skr\u00e4ddarsydda f\u00f6r specifika uppgifter. Detta g\u00f6r det m\u00f6jligt f\u00f6r f\u00f6retag att dra nytta av olika AI-plattformars styrkor samtidigt som de beh\u00e5ller oberoende av molnplattformar.<br><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Sammanfattningsvis inneb\u00e4r AI:s framtid ett skifte mot specialiserade modeller och st\u00f6rre betoning p\u00e5 m\u00e4nsklig \u00f6vervakning. Medan AI kommer att bli mer autonom, kommer m\u00e4nniskor att spela en avg\u00f6rande roll i att v\u00e4gleda, \u00f6vervaka och s\u00e4kerst\u00e4lla etisk AI-utveckling.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-slutsats\"><strong>Slutsats<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e4r AI-system blir alltmer sofistikerade blir behovet av m\u00e4nsklig intelligens f\u00f6r att v\u00e4gleda, f\u00f6rfina och \u00f6vervaka deras funktion \u00e4nnu mer kritiskt. Denna samarbetsmetod s\u00e4kerst\u00e4ller noggrannhet, m\u00f6jligg\u00f6r prestandam\u00e4tning, mildrar bias, fr\u00e4mjar f\u00f6rtroende och g\u00f6r att AI kontinuerligt kan l\u00e4ra sig och anpassa sig. Resultatet?\u00a0<a href=\"https:\/\/devoteam.info\/expert-view\/ai-at-our-service\/\">AI till v\u00e5r tj\u00e4nst<\/a>. Fram\u00f6ver handlar AI:s framtid om att hitta den optimala balansen mellan m\u00e4nsklig expertis och artificiell intelligens, vilket g\u00f6r det m\u00f6jligt f\u00f6r oss att utnyttja b\u00e5das fulla potential samtidigt som vi prioriterar m\u00e4nskliga v\u00e4rderingar och etiska \u00f6verv\u00e4ganden. Jag tror att resan mot verkligt intelligent och f\u00f6rdelaktig AI \u00e4r ett samarbete, d\u00e4r m\u00e4nniskor och maskiner arbetar tillsammans.<\/p>\n\n\n\n<div class=\"wp-block-columns alignfull has-secondary-background-color has-background is-layout-flex wp-container-core-columns-is-layout-4b1fd674 wp-block-columns-is-layout-flex\" style=\"margin-top:var(--wp--preset--spacing--medium);margin-bottom:var(--wp--preset--spacing--medium)\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-container-core-column-is-layout-969dc29d wp-block-column-is-layout-flow\" style=\"padding-top:0;padding-right:0;padding-bottom:0;padding-left:0;flex-basis:100%\">\n<h2 class=\"wp-block-heading\" id=\"h-over-80-av-ai-projekten-misslyckas-dina-behover-inte-gora-det\"><strong><strong>\u00d6ver 80% av AI-projekten misslyckas Dina beh\u00f6ver inte g\u00f6ra det.<\/strong><\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"729\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/05\/AI-Strategy-Playbook-2025-mockup-1024x729.png\" alt=\"\" class=\"wp-image-598210\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/05\/AI-Strategy-Playbook-2025-mockup-1024x729.png 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/05\/AI-Strategy-Playbook-2025-mockup-300x213.png 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/05\/AI-Strategy-Playbook-2025-mockup-768x546.png 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/05\/AI-Strategy-Playbook-2025-mockup-1536x1093.png 1536w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/05\/AI-Strategy-Playbook-2025-mockup.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-stretch has-secondary-background-color has-background is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:150%\">\n<div class=\"wp-block-group has-main-color has-secondary-background-color has-text-color has-background has-link-color wp-elements-1 is-layout-flow wp-container-core-group-is-layout-23162e80 wp-block-group-is-layout-flow\" style=\"margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--medium);padding-right:var(--wp--preset--spacing--large);padding-bottom:var(--wp--preset--spacing--medium);padding-left:var(--wp--preset--spacing--large)\">\n<div class=\"wp-block-group is-vertical is-content-justification-left is-layout-flex wp-container-core-group-is-layout-99ac50d1 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--x-small);padding-bottom:var(--wp--preset--spacing--x-small)\">\n<p class=\"has-medium-small-font-size wp-block-paragraph\" style=\"font-style:normal;font-weight:600\">Ladda ner v\u00e5r AI Strategy Playbook:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<ul style=\"padding-right:0;padding-left:0\" class=\"wp-block-list\">\n<li class=\"has-small-font-size\"><strong>L\u00e4r dig varf\u00f6r AI-projekt ofta misslyckas<\/strong>\u00a0(och hur du undviker det).<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>F\u00f6lj 10 tydliga steg<\/strong>\u00a0f\u00f6r en stark AI-plan.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Fokusera p\u00e5 att l\u00f6sa aff\u00e4rsproblem<\/strong>\u00a0(inte bara anv\u00e4nda AI).<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Hitta den b\u00e4sta AI-anv\u00e4ndningen f\u00f6r\u00a0<em>ditt<\/em>\u00a0f\u00f6retag<\/strong>\u00a0(inkluderar 100+ exempel).<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<ul style=\"padding-right:0;padding-left:0\" class=\"wp-block-list\">\n<li class=\"has-small-font-size\" style=\"margin-top:0;margin-right:0;margin-bottom:0;margin-left:0\"><strong>L\u00e4r dig hur du m\u00e4ter AI-resultat<\/strong>\u00a0(GenAI-projekt ger i genomsnitt ~3,7x avkastning).<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>S\u00e4kra din tekniska plattform<\/strong> (Cloud, Data, och AI S\u00e4kerhet).<\/li>\n\n\n\n<li class=\"has-small-font-size\" style=\"padding-top:0;padding-bottom:0\"><strong>Hj\u00e4lp ditt team anpassa sig till AI<\/strong>\u00a0(och se hur vi utbildar v\u00e5r personal).<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Anv\u00e4nd AI ansvarsfullt<\/strong>\u00a0(t\u00e4cker r\u00e4ttvisa, bias och milj\u00f6h\u00e4nsyn).<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-5446dffb wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">Ladda ner AI Playbook (engelska)<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduktion Fr\u00e5n fakturahantering till medicinska diagnoser beh\u00f6ver de mest avancerade AI-systemen fortfarande en hemlig ingrediens f\u00f6r att lyckas: m\u00e4nniskor. Det m\u00e4nskliga elementet s\u00e4kerst\u00e4ller att AI-systemen \u00e4r intelligenta och anpassade till v\u00e5ra v\u00e4rderingar och behov, vilket m\u00f6jligg\u00f6r mer p\u00e5litliga och robusta resultat. Det \u00e4r h\u00e4r konceptet \u201dhuman-in-the-loop &#8211; m\u00e4nniskan i loopen\u201d kommer in i bilden. Vad [&hellip;]<\/p>\n","protected":false},"featured_media":147994,"template":"","categories":[936],"tags":[6116],"industry":[],"class_list":["post-701758","expert-view","type-expert-view","status-publish","has-post-thumbnail","hentry","category-artificiell-intelligens-ai","tag-ai-machine-learning-se"],"acf":[],"cards":"\n\t<div class=\"single-post-card\">\n\n\t\t<figure class=\"wp-block-post-featured-image\"><a href=\"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/\" target=\"_self\" ><img width=\"2560\" height=\"1707\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited.jpg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Human-In-The-Loop: Vad, Hur och Varf\u00f6r\" style=\"aspect-ratio:4\/3;width:100%;object-fit:cover;\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited.jpg 2560w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-300x200.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-1024x683.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-768x512.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-1536x1024.jpg 1536w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-2048x1366.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/a><\/figure>\n\n\t\t\n\t\t<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-43282307 wp-block-group-is-layout-flex\">\n\t<p style=\"font-style:normal;font-weight:700\" class=\"has-link-color wp-elements-2 wp-block-lp-post-type has-text-color has-primary-color has-small-font-size\">Expert View<\/p>\n\n\t\t\n\t\t<h3 style=\"font-style:normal;font-weight:400\" class=\"wp-block-post-title has-base-font-size\"><a href=\"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/\" target=\"_self\" >Human-In-The-Loop: Vad, Hur och Varf\u00f6r<\/a><\/h3><\/div>\n\t\t\n\t<\/div>\n\n","yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.4 (Yoast SEO v28.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Human-In-The-Loop: Vad, Hur och Varf\u00f6r | Devoteam<\/title>\n<meta name=\"description\" content=\"Missa inte denna v\u00e4sentliga guide f\u00f6r att f\u00f6rst\u00e5 och implementera human-in-the-loop (HITL) i AI project.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Human-In-The-Loop: Vad, Hur och Varf\u00f6r\" \/>\n<meta property=\"og:description\" content=\"Missa inte denna v\u00e4sentliga guide f\u00f6r att f\u00f6rst\u00e5 och implementera human-in-the-loop (HITL) i AI project.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/\" \/>\n<meta property=\"og:site_name\" content=\"Devoteam\" \/>\n<meta property=\"article:modified_time\" content=\"2025-08-25T08:09:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/01\/Copy-of-Social-media-templates-LinkedIn-landscape-format-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"627\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ber\u00e4knad l\u00e4stid\" \/>\n\t<meta name=\"twitter:data1\" content=\"14 minuter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/\",\"url\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/\",\"name\":\"Human-In-The-Loop: Vad, Hur och Varf\u00f6r | Devoteam\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/devoteam.info\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/GettyImages-2082188683_edited.jpg\",\"datePublished\":\"2025-01-22T15:45:59+00:00\",\"dateModified\":\"2025-08-25T08:09:36+00:00\",\"description\":\"Missa inte denna v\u00e4sentliga guide f\u00f6r att f\u00f6rst\u00e5 och implementera human-in-the-loop (HITL) i AI project.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/#breadcrumb\"},\"inLanguage\":\"sv-SE\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/\"]}],\"accessibilityFeature\":[\"tableOfContents\"]},{\"@type\":\"ImageObject\",\"inLanguage\":\"sv-SE\",\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/#primaryimage\",\"url\":\"https:\\\/\\\/devoteam.info\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/GettyImages-2082188683_edited.jpg\",\"contentUrl\":\"https:\\\/\\\/devoteam.info\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/GettyImages-2082188683_edited.jpg\",\"width\":2560,\"height\":1707,\"caption\":\"A person entering a portal of light\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/human-in-the-loop-what-how-and-why\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/devoteam.info\\\/se\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Expert View\",\"item\":\"https:\\\/\\\/devoteam.info\\\/se\\\/expert-view\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Human-In-The-Loop: Vad, Hur och Varf\u00f6r\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/devoteam.info\\\/se\\\/#website\",\"url\":\"https:\\\/\\\/devoteam.info\\\/se\\\/\",\"name\":\"Devoteam\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/devoteam.info\\\/se\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"sv-SE\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Human-In-The-Loop: Vad, Hur och Varf\u00f6r | Devoteam","description":"Missa inte denna v\u00e4sentliga guide f\u00f6r att f\u00f6rst\u00e5 och implementera human-in-the-loop (HITL) i AI project.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/","og_locale":"sv_SE","og_type":"article","og_title":"Human-In-The-Loop: Vad, Hur och Varf\u00f6r","og_description":"Missa inte denna v\u00e4sentliga guide f\u00f6r att f\u00f6rst\u00e5 och implementera human-in-the-loop (HITL) i AI project.","og_url":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/","og_site_name":"Devoteam","article_modified_time":"2025-08-25T08:09:36+00:00","og_image":[{"width":1200,"height":627,"url":"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/01\/Copy-of-Social-media-templates-LinkedIn-landscape-format-1.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Ber\u00e4knad l\u00e4stid":"14 minuter"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/","url":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/","name":"Human-In-The-Loop: Vad, Hur och Varf\u00f6r | Devoteam","isPartOf":{"@id":"https:\/\/devoteam.info\/se\/#website"},"primaryImageOfPage":{"@id":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/#primaryimage"},"image":{"@id":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/#primaryimage"},"thumbnailUrl":"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited.jpg","datePublished":"2025-01-22T15:45:59+00:00","dateModified":"2025-08-25T08:09:36+00:00","description":"Missa inte denna v\u00e4sentliga guide f\u00f6r att f\u00f6rst\u00e5 och implementera human-in-the-loop (HITL) i AI project.","breadcrumb":{"@id":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/#breadcrumb"},"inLanguage":"sv-SE","potentialAction":[{"@type":"ReadAction","target":["https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/"]}],"accessibilityFeature":["tableOfContents"]},{"@type":"ImageObject","inLanguage":"sv-SE","@id":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/#primaryimage","url":"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited.jpg","contentUrl":"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited.jpg","width":2560,"height":1707,"caption":"A person entering a portal of light"},{"@type":"BreadcrumbList","@id":"https:\/\/devoteam.info\/se\/expert-view\/human-in-the-loop-what-how-and-why\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/devoteam.info\/se\/"},{"@type":"ListItem","position":2,"name":"Expert View","item":"https:\/\/devoteam.info\/se\/expert-view\/"},{"@type":"ListItem","position":3,"name":"Human-In-The-Loop: Vad, Hur och Varf\u00f6r"}]},{"@type":"WebSite","@id":"https:\/\/devoteam.info\/se\/#website","url":"https:\/\/devoteam.info\/se\/","name":"Devoteam","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/devoteam.info\/se\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"sv-SE"}]}},"uagb_featured_image_src":{"full":["https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited.jpg",2560,1707,false],"thumbnail":["https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-150x150.jpg",150,150,true],"medium":["https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-300x200.jpg",300,200,true],"medium_large":["https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-768x512.jpg",768,512,true],"large":["https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-1024x683.jpg",1024,683,true],"1536x1536":["https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-1536x1024.jpg",1536,1024,true],"2048x2048":["https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-2082188683_edited-2048x1366.jpg",2048,1366,true]},"uagb_author_info":{"display_name":"Julien Pawlowski","author_link":"https:\/\/devoteam.info\/se\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Introduktion Fr\u00e5n fakturahantering till medicinska diagnoser beh\u00f6ver de mest avancerade AI-systemen fortfarande en hemlig ingrediens f\u00f6r att lyckas: m\u00e4nniskor. Det m\u00e4nskliga elementet s\u00e4kerst\u00e4ller att AI-systemen \u00e4r intelligenta och anpassade till v\u00e5ra v\u00e4rderingar och behov, vilket m\u00f6jligg\u00f6r mer p\u00e5litliga och robusta resultat. Det \u00e4r h\u00e4r konceptet \u201dhuman-in-the-loop &#8211; m\u00e4nniskan i loopen\u201d kommer in i bilden. Vad&hellip;","_links":{"self":[{"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/expert-view\/701758","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/expert-view"}],"about":[{"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/types\/expert-view"}],"version-history":[{"count":0,"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/expert-view\/701758\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/media\/147994"}],"wp:attachment":[{"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/media?parent=701758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/categories?post=701758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/tags?post=701758"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/devoteam.info\/se\/wp-json\/wp\/v2\/industry?post=701758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}