{"id":183689,"date":"2024-04-17T06:42:00","date_gmt":"2024-04-17T05:42:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=183689"},"modified":"2024-03-26T19:29:12","modified_gmt":"2024-03-26T18:29:12","slug":"understanding-ai-hallucinations-causes-and-consequences","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences","title":{"rendered":"Understanding AI Hallucinations: Causes and Consequences"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"183689\" class=\"elementor elementor-183689\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ab7cb36 e-flex e-con-boxed e-con\" data-id=\"ab7cb36\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-de44da6 elementor-widget elementor-widget-heading\" data-id=\"de44da6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">They say to err is human! But not only that. Intelligent machines can also make mistakes. This is known as AI hallucination. What are these hallucinations? What are the causes? What are the consequences? And above all, how can AI hallucinations be prevented? DataScientest answers your questions. <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8b98b06 e-flex e-con-boxed e-con\" data-id=\"8b98b06\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-36c5ca8 elementor-widget elementor-widget-heading\" data-id=\"36c5ca8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is AI Hallucinations? <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8297a00 elementor-widget elementor-widget-text-editor\" data-id=\"8297a00\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>AI hallucinations<\/strong> are incorrect or misleading results generated by large language models. These<a href=\"https:\/\/datascientest.com\/en\/large-language-models-llm-everything-you-need-to-know\"> LLMs<\/a> are based on non-existent or poorly decoded training data, creating inaccurate or even &#8220;hallucinatory&#8221; results. This can be particularly problematic when it comes to making decisions.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0092016 elementor-widget elementor-widget-heading\" data-id=\"0092016\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Examples of AI hallucinations<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0fd888 elementor-widget elementor-widget-text-editor\" data-id=\"c0fd888\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Hallucination AIs<\/strong> affect all models, even the most sophisticated. Here are a few well-known examples:<\/p><ul><li>Google&#8217;s <a href=\"https:\/\/datascientest.com\/en\/google-bard-available-everywhere-except-in-europe\">Bard<\/a> chatbot claimed that the James Webb Space<\/li><li>Telescope had captured the first images of a planet outside our solar system.<\/li><li>Microsoft&#8217;s chatbot claimed to have fallen in love with its users and to have spied on Bing employees.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e883b1 elementor-widget elementor-widget-text-editor\" data-id=\"4e883b1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Beyond these examples involving the major players in <a href=\"https:\/\/datascientest.com\/en\/xai-or-explainable-artificial-intelligence-what-is-it-about\">artificial intelligence<\/a>, LLM hallucinations often result in erroneous predictions, false positives or false negatives.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-450b659 elementor-widget elementor-widget-heading\" data-id=\"450b659\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Positive applications<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c4b62c elementor-widget elementor-widget-text-editor\" data-id=\"6c4b62c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Even though <strong>AI hallucinations<\/strong> usually lead to an undesirable result, they may also hold some pleasant surprises in store for us. For example:<\/p><ul><li><strong>The arts:<\/strong> these &#8220;errors&#8221; are particularly spectacular at the visual level. Learning models can produce &#8220;hallucinatory&#8221; images that allow us to develop a new approach to artistic creation.<\/li><li><strong>Data interpretation:<\/strong> even when producing erroneous results, the hallucinations of generative AI tools can reveal new connections and offer other perspectives.<\/li><li><strong>Games and virtual reality:<\/strong> AI hallucinations can help developers imagine new worlds.<\/li><li>They can also add elements of surprise and unpredictability. All of which significantly enhances the experience for gamers.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3a6ef9 elementor-widget elementor-widget-text-editor\" data-id=\"e3a6ef9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>That said, outside the creative field, <strong>AI hallucinations<\/strong> very often have harmful effects. But before looking at the dangers of these phenomena, let&#8217;s look at their causes.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-936bd8f elementor-widget elementor-widget-image\" data-id=\"936bd8f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/AI_hallucinations1.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c4eb6c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"2c4eb6c\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-intelligence-artificielle\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Training in the creation of AI models<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-98fcb1e e-flex e-con-boxed e-con\" data-id=\"98fcb1e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-84d0d46 elementor-widget elementor-widget-heading\" data-id=\"84d0d46\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How can LLM hallucinations be explained?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-90b1db5 elementor-widget elementor-widget-text-editor\" data-id=\"90b1db5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In principle, <a href=\"https:\/\/datascientest.com\/en\/the-new-champion-of-open-source-llm-falcon\">LLMs<\/a> train using data. This enables them to identify patterns in the data and make predictions. But a simple mistake in this training phase can have serious consequences for predictions.<\/p><p>Here are the most common errors that can cause <strong>AI hallucinations:<\/strong><\/p><ul><li>Incomplete, inconsistent, out-of-date, inaccurate or biased training data;<\/li><li>Poorly classified data;<\/li><li>Biases in the data supplied to the models;<\/li><li><a href=\"https:\/\/datascientest.com\/en\/overfitting-what-is-it-how-can-i-avoid-it\">Overfitting<\/a> of data;<\/li><li>Incorrect assumptions made by the AI model;<\/li><li>Insufficient programming to prepare the model to interpret the information correctly;<\/li><li>Lack of context;<\/li><li>Model complexity.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fd0abbd elementor-widget elementor-widget-text-editor\" data-id=\"fd0abbd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Whatever the cause, the slightest error in preparing the models can completely distort future results.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-02a9981 e-flex e-con-boxed e-con\" data-id=\"02a9981\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ee2c83 elementor-widget elementor-widget-heading\" data-id=\"1ee2c83\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the consequences of AI hallucinations?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-17ffcf9 elementor-widget elementor-widget-text-editor\" data-id=\"17ffcf9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>With <a href=\"https:\/\/datascientest.com\/en\/artificial-intelligence-definition\">artificial intelligence<\/a> now being used in a wide variety of sectors, <strong>AI hallucinations can have multiple harmful effects.<\/strong><\/p><p><span style=\"text-decoration: underline;\">For example:<\/span><\/p><ul><li><strong>In healthcare:<\/strong> an AI model could identify a serious illness, when it was actually a benign pathology. This leads to unnecessary medical intervention. The reverse is also true, resulting in no treatment for a patient who really needs it.<\/li><li><strong>In the field of security:<\/strong> AI hallucinations can disseminate erroneous information in highly sensitive sectors, such as national defence. Armed with inaccurate data, governments can make decisions with major diplomatic consequences.<\/li><li><strong>In finance:<\/strong> a model can identify fraudulent acts that are not really fraudulent, unnecessarily blocking financial transactions. Conversely, it can also miss certain frauds.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1dbfab8 e-flex e-con-boxed e-con\" data-id=\"1dbfab8\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d8509e elementor-widget elementor-widget-heading\" data-id=\"3d8509e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How can we limit the impact of AI hallucinations?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03be72b elementor-widget elementor-widget-text-editor\" data-id=\"03be72b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As the effects of <strong>AI hallucinations<\/strong> can be particularly harmful, it is essential to put in place all measures to limit them.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80f9997 elementor-widget elementor-widget-image\" data-id=\"80f9997\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/AI_hallucinations2.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-afa5c05 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"afa5c05\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn all about AI Hallucinations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d9cfc9e elementor-widget elementor-widget-heading\" data-id=\"d9cfc9e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Taking care of your training data <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ebe4cb3 elementor-widget elementor-widget-text-editor\" data-id=\"ebe4cb3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The<strong> quality of the results<\/strong> from the large language model depends to a large extent on the quality of the training data.<\/p><p>Hence the importance of taking good care of it. To achieve this, it is necessary to carry out a meticulous preparation of the data. The idea is to ensure that no false, obsolete or inaccurate information pollutes the data set.<\/p><p>In addition to<a href=\"https:\/\/datascientest.com\/en\/data-quality-10-mistakes-not-to-make\"> data quality<\/a>, it is essential to provide the learning model with relevant data sets. In other words, data that is relevant to the task the model has to perform.<\/p><p>Finally, you also need to provide a <a href=\"https:\/\/datascientest.com\/en\/datasets-top-5-places-to-find-quality-datasets\">large data set<\/a> made up of diverse, balanced and well-structured data. This will minimise output bias, and therefore AI hallucinations.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-34e5c20 elementor-widget elementor-widget-heading\" data-id=\"34e5c20\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Define your expectations precisely<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ff33904 elementor-widget elementor-widget-text-editor\" data-id=\"ff33904\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To obtain a given result, you need to tell the artificial intelligence what you want, while defining the limits. In other words, specify what you want, and what you don&#8217;t want.<\/p><p>For example, with examples of well-written or badly-written texts if you want to create written content. You can also use filtering tools and\/or probabilistic thresholds.<\/p><p>This way, the system will easily identify the tasks to be performed. The risk of <strong>AI hallucinations<\/strong> will then be reduced.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a1770cd elementor-widget elementor-widget-heading\" data-id=\"a1770cd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Using data models<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6372f87 elementor-widget elementor-widget-text-editor\" data-id=\"6372f87\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><a href=\"https:\/\/datascientest.com\/en\/big-data-methods-unleashing-the-power-of-data-at-scale\">Data models (or templates)<\/a> are predefined formats designed to guide AI. By doing this, artificial intelligence is more likely to generate results that comply with your guidelines.<\/p><p>Once again, for a written text, your template can take up the basic structure:<\/p><ul><li>A title ;<\/li><li>An introduction ;<\/li><li>H2s (define the desired number);<\/li><li>Paragraphs below each H2 (specify the number of words or a range);<\/li><li>A conclusion.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6cbe975 elementor-widget elementor-widget-text-editor\" data-id=\"6cbe975\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As well as limiting<strong> AI hallucinations,<\/strong> the template also allows you to refine the responses of the artificial intelligence to produce a result that is more consistent with your expectations.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d1b005b elementor-widget elementor-widget-heading\" data-id=\"d1b005b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Continuously testing and refining the AI system<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-584677c elementor-widget elementor-widget-text-editor\" data-id=\"584677c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Even if you take precautions, <strong>AI hallucinations<\/strong> are commonplace. So to reduce their impact on decision-making, you need to rigorously test your AI model before using it. And above all, it&#8217;s vital to continue evaluating it, even after it&#8217;s been put into production.<\/p><p>As well as limiting the risk of error, this will improve the overall performance of the system and allow you to adjust the model as the data evolves.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-abf7084 elementor-widget elementor-widget-heading\" data-id=\"abf7084\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Continuously testing and refining the AI system<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77837d0 elementor-widget elementor-widget-text-editor\" data-id=\"77837d0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Artificial intelligence<\/strong> can work wonders, but it must always be supervised by a human being. You will then need to examine each result provided. In the event of an error, this will enable you to identify the cause and correct it quickly.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6628c0e e-flex e-con-boxed e-con\" data-id=\"6628c0e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ecd7bac elementor-widget elementor-widget-text-editor\" data-id=\"ecd7bac\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Want to create AI models that are free from errors and hallucinations? Start by getting trained. At DataScientest, you&#8217;ll learn everything you need to know about data science, machine learning, deep learning&#8230; Join us!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-99b3814 elementor-widget elementor-widget-image\" data-id=\"99b3814\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/AI_hallucinations3.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f62469 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"3f62469\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29f1631 elementor-widget elementor-widget-html\" data-id=\"29f1631\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is AI Hallucinations?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"AI hallucinations are incorrect or misleading results generated by large language models. These LLMs are based on non-existent or poorly decoded training data, creating inaccurate or even \"hallucinatory\" results. This can be particularly problematic when it comes to making decisions.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"How can LLM hallucinations be explained?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"In principle, LLMs train using data. This allows them to identify patterns in the data and make predictions. But a simple error in this training phase can have serious consequences for predictions.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"How can we limit the impact of AI hallucinations?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"As the effects of AI hallucinations can be particularly harmful, it is vital to put in place all measures to limit them.\n      <ul>\n      <li>Take care with your training data<\/li>\n      <li>Defining your expectations precisely<\/li>\n      <li>Use data models<\/li>\n      <li>Continuously test and refine the AI system<\/li>\n      <li>Supervise the model<\/li>\n      <\/ul>\"\n    }\n  }]\n}\n<\/script>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>They say to err is human! But not only that. Intelligent machines can also make mistakes. This is known as AI hallucination. What are these hallucinations? What are the causes? What are the consequences? And above all, how can AI hallucinations be prevented? DataScientest answers your questions. What is AI Hallucinations? AI hallucinations are incorrect [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":183690,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Understanding AI Hallucinations: Causes and Consequences<\/title>\n<meta name=\"description\" content=\"Delve into the realm of AI hallucinations to grasp their origins, ranging from biased data to model limitations, and ...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Understanding AI Hallucinations: Causes and Consequences\" \/>\n<meta property=\"og:description\" content=\"They say to err is human! But not only that. Intelligent machines can also make mistakes. This is known as AI hallucination. What are these\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-17T05:42:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-26T18:29:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/03\/AI_hallucinations-1024x585-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"585\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Melanie\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Melanie\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences\"},\"author\":{\"name\":\"Melanie\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\"},\"headline\":\"Understanding AI Hallucinations: Causes and Consequences\",\"datePublished\":\"2024-04-17T05:42:00+00:00\",\"dateModified\":\"2024-03-26T18:29:12+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences\"},\"wordCount\":1055,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"articleSection\":[\"Artificial Intelligence\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences\",\"url\":\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences\",\"name\":\"Understanding AI Hallucinations: Causes and Consequences\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2024-04-17T05:42:00+00:00\",\"dateModified\":\"2024-03-26T18:29:12+00:00\",\"description\":\"Delve into the realm of AI hallucinations to grasp their origins, ranging from biased data to model limitations, and ...\",\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/en\/#website\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"name\":\"Data Science Courses | DataScientest\",\"description\":\"Leader in Data Science Courses\",\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/en\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/datascientest.com\/en\/#organization\",\"name\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"contentUrl\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"width\":301,\"height\":301,\"caption\":\"DataScientest\"},\"image\":{\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/DataScientestEN\",\"https:\/\/twitter.com\/DataScientest__\",\"https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/\",\"https:\/\/www.tiktok.com\/@datascientest\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\",\"name\":\"Melanie\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"caption\":\"Melanie\"},\"url\":\"https:\/\/datascientest.com\/en\/author\/melaniekrause\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Understanding AI Hallucinations: Causes and Consequences","description":"Delve into the realm of AI hallucinations to grasp their origins, ranging from biased data to model limitations, and ...","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:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences","og_locale":"en_GB","og_type":"article","og_title":"Understanding AI Hallucinations: Causes and Consequences","og_description":"They say to err is human! But not only that. Intelligent machines can also make mistakes. This is known as AI hallucination. What are these","og_url":"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences","og_site_name":"Data Science Courses | DataScientest","article_publisher":"https:\/\/www.facebook.com\/DataScientestEN","article_published_time":"2024-04-17T05:42:00+00:00","article_modified_time":"2024-03-26T18:29:12+00:00","og_image":[{"width":1024,"height":585,"url":"https:\/\/datascientest.com\/en\/files\/2024\/03\/AI_hallucinations-1024x585-1.jpg","type":"image\/jpeg"}],"author":"Melanie","twitter_card":"summary_large_image","twitter_creator":"@DataScientest__","twitter_site":"@DataScientest__","twitter_misc":{"Written by":"Melanie","Estimated reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences#article","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences"},"author":{"name":"Melanie","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d"},"headline":"Understanding AI Hallucinations: Causes and Consequences","datePublished":"2024-04-17T05:42:00+00:00","dateModified":"2024-03-26T18:29:12+00:00","mainEntityOfPage":{"@id":"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences"},"wordCount":1055,"commentCount":0,"publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"articleSection":["Artificial Intelligence"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences#respond"]}],"copyrightYear":"2024","copyrightHolder":{"@id":"https:\/\/datascientest.com\/#organization"}},{"@type":"WebPage","@id":"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences","url":"https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences","name":"Understanding AI Hallucinations: Causes and Consequences","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/#website"},"datePublished":"2024-04-17T05:42:00+00:00","dateModified":"2024-03-26T18:29:12+00:00","description":"Delve into the realm of AI hallucinations to grasp their origins, ranging from biased data to model limitations, and ...","inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/en\/understanding-ai-hallucinations-causes-and-consequences"]}]},{"@type":"WebSite","@id":"https:\/\/datascientest.com\/en\/#website","url":"https:\/\/datascientest.com\/en\/","name":"Data Science Courses | DataScientest","description":"Leader in Data Science Courses","publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascientest.com\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/datascientest.com\/en\/#organization","name":"DataScientest","url":"https:\/\/datascientest.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","contentUrl":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","width":301,"height":301,"caption":"DataScientest"},"image":{"@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataScientestEN","https:\/\/twitter.com\/DataScientest__","https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/","https:\/\/www.tiktok.com\/@datascientest"]},{"@type":"Person","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d","name":"Melanie","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","caption":"Melanie"},"url":"https:\/\/datascientest.com\/en\/author\/melaniekrause"}]}},"_links":{"self":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/183689"}],"collection":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/users\/67"}],"replies":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/comments?post=183689"}],"version-history":[{"count":0,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/183689\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media\/183690"}],"wp:attachment":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media?parent=183689"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/categories?post=183689"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/tags?post=183689"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}