{"id":4509,"date":"2026-01-16T15:51:40","date_gmt":"2026-01-16T14:51:40","guid":{"rendered":"https:\/\/learnllm.nl\/?page_id=4509"},"modified":"2026-04-04T22:15:39","modified_gmt":"2026-04-04T20:15:39","slug":"our-vision-of-ai","status":"publish","type":"page","link":"https:\/\/learnllm.nl\/en\/over-learnllm\/onze-visie-op-ai\/","title":{"rendered":"Our vision of AI"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"4509\" class=\"elementor elementor-4509\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d43878e e-flex e-con-boxed e-con e-parent\" data-id=\"d43878e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c416528 elementor-widget elementor-widget-html\" data-id=\"c416528\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!-- BLOK 1: HERO -->\r\n<div class=\"learnllm-content-wrapper\">\r\n<section class=\"about-hero\" aria-labelledby=\"vision-title\">\r\n  <div class=\"about-hero__grid\">\r\n\r\n    <div class=\"about-hero__copy\">\r\n      <p class=\"about-kicker\">Our vision of AI<\/p>\r\n\r\n      <h1 id=\"vision-title\">How LearnLLM looks at responsible AI use<\/h1>\r\n\r\n      <p class=\"about-lead\">\r\n        AI tools like ChatGPT are powerful but fundamentally different from traditional software.\r\n        They generate text based on probability, not truth.\r\n        That difference determines how you can use them responsibly in professional work.\r\n      <\/p>\r\n\r\n      <p class=\"about-lead\">\r\n        On this page, we explain how a language model works, when AI can be used responsibly\r\n        and what checks professional use requires.\r\n        This is the content basis of everything LearnLLM publishes and teaches.\r\n      <\/p>\r\n\r\n      <div class=\"hero-cta\">\r\n        <a class=\"btn-primary\" href=\"https:\/\/learnllm.nl\/en\/e-learning\/chatgpt-free\/\">\r\n          Start free course\r\n        <\/a>\r\n        <a class=\"btn-primary btn-outline\" href=\"https:\/\/learnllm.nl\/e-learnings\/\">\r\n          See all courses\r\n        <\/a>\r\n      <\/div>\r\n    <\/div>\r\n\r\n  <\/div>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed3ac71 elementor-widget elementor-widget-html\" data-id=\"ed3ac71\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!-- BLOK 2: WAT EEN LLM DOET -->\r\n<section class=\"about-section\" aria-labelledby=\"llm-does\">\r\n  <div class=\"section-header\">\r\n    <h2 id=\"llm-does\">What an LLM does and does not do<\/h2>\r\n    <p class=\"section-subtitle\">\r\n      An LLM generates text based on probability. Not based on truth.\r\n    <\/p>\r\n  <\/div>\r\n\r\n  <div class=\"about-prose\">\r\n    <p>\r\n      A Large Language Model predicts which word or phrase is likely to follow, based on patterns in huge amounts of language data.\r\n      The model does not have access to a database of facts. It has no understanding of context like a professional has.\r\n      It does not know when it is wrong.\r\n    <\/p>\r\n    <p>\r\n      This explains a pattern that anyone who uses AI on a daily basis recognises: output sounds logical, complete and convincing and yet is incorrect.\r\n      A plausible statistic that is based on nothing. A summary that omits nuance.\r\n      A conclusion that goes just a little further than the facts allow.\r\n      Fluent language is not proof of correctness.\r\n    <\/p>\r\n    <p>\r\n      This is not a bug that will be fixed in the next version. It is a structural feature of how language models work.\r\n      Understanding this mechanism is the basis of responsible use.\r\n    <\/p>\r\n  <\/div>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18ff278 elementor-widget elementor-widget-html\" data-id=\"18ff278\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!-- BLOK 3: VERANTWOORDELIJKHEID -->\r\n<section class=\"about-section\" aria-labelledby=\"human-resp\">\r\n  <div class=\"section-header\">\r\n    <h2 id=\"human-resp\">Responsibility always remains human<\/h2>\r\n    <p class=\"section-subtitle\">\r\n      Your name is at the bottom of the document. Your organisation bears the risk.\r\n    <\/p>\r\n  <\/div>\r\n\r\n  <div class=\"about-prose\">\r\n    <p>\r\n      AI is excellent at supporting thinking and working out. It cannot make decisions and bear responsibility.\r\n      \"ChatGPT said it\" is not a professional, legal or ethical argument.\r\n    <\/p>\r\n    <p>\r\n      This is not a nuance. It is a principle that defines how you use AI in your work.\r\n      The professional using AI is and remains ultimately responsible for the output that goes out under his or her name.\r\n      That applies to an e-mail to a client, a policy advice, a financial report and an internal presentation.\r\n    <\/p>\r\n    <p>\r\n      Those who accept that as a starting point can deploy AI structurally and with confidence.\r\n      Those who ignore that take a risk that will become apparent at some point.\r\n    <\/p>\r\n  <\/div>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf6ce5f elementor-widget elementor-widget-html\" data-id=\"cf6ce5f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!-- BLOK 4: WANNEER AI WEL -->\r\n<section class=\"about-section\" aria-labelledby=\"when-ok\">\r\n  <div class=\"section-header\">\r\n    <h2 id=\"when-ok\">When AI is responsibly deployable<\/h2>\r\n    <p class=\"section-subtitle\">\r\n      AI works best as support for work that remains controllable.\r\n    <\/p>\r\n  <\/div>\r\n\r\n  <div class=\"about-prose\">\r\n    <p>\r\n      Not every task has the same reliability requirements. An initial writing version has a different margin of error than a legal agreement.\r\n      The distinction between low-risk and high-risk usage is the most practical compass you can use.\r\n    <\/p>\r\n    <p>\r\n      AI is generally appropriate for tasks that are repeatable, largely text-based, remain controllable and do not require autonomous decisions.\r\n      Think of first text versions, summaries with a check for source and nuance, brainstorming and exploration, and applying structure to information.\r\n    <\/p>\r\n    <p>\r\n      Be extra cautious with legal or policy texts, financial or medical topics, external communications under your name or organisation and decisions with reputational or compliance risk.\r\n      If output cannot be verified, explained or defended, it is unsuitable for professional use.\r\n    <\/p>\r\n  <\/div>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8337b35 elementor-widget elementor-widget-html\" data-id=\"8337b35\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!-- BLOK 5: VAN PROMPTS NAAR WERKWIJZE -->\r\n<section class=\"about-section\" aria-labelledby=\"workflow\">\r\n  <div class=\"section-header\">\r\n    <h2 id=\"workflow\">From loose prompts to a working method<\/h2>\r\n    <p class=\"section-subtitle\">\r\n      Most problems arise not from bad prompts but from the lack of a process.\r\n    <\/p>\r\n  <\/div>\r\n\r\n  <div class=\"about-prose\">\r\n    <p>\r\n      A good prompt helps. But a good prompt without a process produces variable results.\r\n      Sometimes it works well, other times it doesn't. And you don't always know why.\r\n    <\/p>\r\n    <p>\r\n      Responsible AI use requires defined use cases so you know what you are and are not using AI for.\r\n      It calls for fixed workflows instead of loose prompts that you invent every time.\r\n      It calls for explicit checkpoints so errors are intercepted before they go any further.\r\n      And it calls for clear responsibilities so that it is clear who reviews and signs off on the output.\r\n    <\/p>\r\n    <p>\r\n      AI only pays off structurally when it is part of a well thought-out process.\r\n      Not from ad hoc experiments where you hope it turns out well.\r\n      That is exactly what LearnLLM's courses build.\r\n    <\/p>\r\n  <\/div>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d0137e2 elementor-widget elementor-widget-html\" data-id=\"d0137e2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!-- BLOK 6: CHECKS -->\r\n<section class=\"about-section\" aria-labelledby=\"checks\">\r\n  <div class=\"section-header\">\r\n    <h2 id=\"checks\">Five checks requiring professional use<\/h2>\r\n    <p class=\"section-subtitle\">\r\n      Speed should never become more important than quality. Checks are not an option but a requirement.\r\n    <\/p>\r\n  <\/div>\r\n\r\n  <div class=\"about-prose\">\r\n    <p>\r\n      LearnLLM's courses teach you to assess output on five questions by default.\r\n      Not as a bureaucratic ritual but as a practical framework that intercepts errors before they become visible.\r\n    <\/p>\r\n    <p>\r\n      The first question is understanding: is the purpose and context you provided correct? Did the AI understand what you meant or did it make an assumption?\r\n      The second is logic: is the reasoning consistent or are there steps in it that you cannot follow?\r\n      The third is verifiability: can you verify the sources and facts in the output itself?\r\n      The fourth is risk: what is the impact if this turns out to be wrong?\r\n      The fifth is responsibility: who assesses this output and who signs for it?\r\n    <\/p>\r\n    <p>\r\n      Without these checks, AI introduces exactly the risk it is so seductive in:\r\n      sounding convincing with no guarantee of accuracy.\r\n    <\/p>\r\n  <\/div>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7889c7 elementor-widget elementor-widget-html\" data-id=\"d7889c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!-- BLOK 7: UITGANGSPUNTEN -->\r\n<section class=\"about-section\" aria-labelledby=\"principles\">\r\n  <div class=\"section-header\">\r\n    <h2 id=\"principles\">The principles of LearnLLM<\/h2>\r\n    <p class=\"section-subtitle\">\r\n      This is the content basis of our courses and everything we publish.\r\n    <\/p>\r\n  <\/div>\r\n\r\n  <div class=\"about-prose\">\r\n    <p>\r\n      Behind every LearnLLM course and article are five principles that are non-negotiable.\r\n    <\/p>\r\n    <p>\r\n      AI supports the work but does not take decisions. The professional always remains ultimately responsible.\r\n      Control is standard, not an exception that you build in when you have time.\r\n      Not everything that is technically possible should be deployed. Understanding always comes before efficiency.\r\n    <\/p>\r\n    <p>\r\n      The latter is the most essential. Those who deploy AI without understanding how it works, what it cannot do and where it goes wrong will work faster but not better.\r\n      LearnLLM is built on the belief that understanding is the only sustainable basis for professional AI use.\r\n    <\/p>\r\n  <\/div>\r\n<\/section>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Onze visie op AI Hoe LearnLLM kijkt naar verantwoord AI-gebruik AI-tools zoals ChatGPT zijn krachtig maar fundamenteel anders<\/p>","protected":false},"author":1,"featured_media":0,"parent":4146,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_tutorstarter_page_metadata":[],"footnotes":""},"class_list":["post-4509","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Onze visie op AI in het werk | LearnLLM<\/title>\n<meta name=\"description\" content=\"Onze visie op AI in het werk. Ontdek waarom betrouwbaarheid, controle en verantwoord gebruik centraal staan bij LearnLLM.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/learnllm.nl\/en\/about-learnllm\/our-vision-of-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Onze visie op AI in het werk | LearnLLM\" \/>\n<meta property=\"og:description\" content=\"Onze visie op AI in het werk. 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