{"id":856,"date":"2025-09-12T11:49:05","date_gmt":"2025-09-12T09:49:05","guid":{"rendered":"https:\/\/univet.hu\/konyvtar\/?page_id=856"},"modified":"2025-09-12T11:55:35","modified_gmt":"2025-09-12T09:55:35","slug":"kritikus-gondolkodas-es-a-mi","status":"publish","type":"page","link":"https:\/\/univet.hu\/konyvtar\/en\/artificial-intelligence-ai\/kritikus-gondolkodas-es-a-mi\/","title":{"rendered":"Critical thinking and evaluating AI-generated content"},"content":{"rendered":"<p data-start=\"199\" data-end=\"526\">Artificial Intelligence, particularly generative models, is increasingly used to support learning, research, and everyday tasks. However, content produced by AI cannot automatically be regarded as reliable or accurate. This makes the use of critical thinking and appropriate verification techniques essential.<\/p> <p data-start=\"528\" data-end=\"593\">How to distinguish between valuable and misleading AI content:<\/p> <ul data-start=\"595\" data-end=\"1488\"> <li data-start=\"595\" data-end=\"876\"> <p data-start=\"597\" data-end=\"876\"><strong data-start=\"597\" data-end=\"621\">Content consistency:<\/strong> Check whether the AI\u2019s answer is logically coherent and internally consistent. If contradictions appear, caution is needed. Sometimes the text sounds convincing, but the reasoning is flawed because one statement does not actually follow from the other.<\/p> <\/li> <li data-start=\"877\" data-end=\"1021\"> <p data-start=\"879\" data-end=\"1021\"><strong data-start=\"879\" data-end=\"896\">Plausibility:<\/strong> Explanations that are overly simplified, overly detailed without justification, or lack references should raise red flags.<\/p> <\/li> <li data-start=\"1022\" data-end=\"1293\"> <p data-start=\"1024\" data-end=\"1293\"><strong data-start=\"1024\" data-end=\"1056\">Absence of proper citations:<\/strong> If the model provides references, always verify that the source truly exists and contains the information attributed to it. Sometimes the original source either does not exist or says something quite different from the AI claims.<\/p> <\/li> <li data-start=\"1294\" data-end=\"1488\"> <p data-start=\"1296\" data-end=\"1488\"><strong data-start=\"1296\" data-end=\"1326\">Relevance to the question:<\/strong> Evaluate whether the response is actually relevant to your question. If the answer strays into unrelated details, this is often a sign of \u201cmisleading\u201d content.<\/p> <\/li> <\/ul> <p data-start=\"1490\" data-end=\"1529\">The phenomenon of \u201challucination\u201d<\/p> <p data-start=\"1530\" data-end=\"1720\">As noted before, generative models often produce content that is grammatically correct and persuasive but factually inaccurate or entirely fabricated. This is known as \u201challucination.\u201d<\/p> <ul> <li data-start=\"1724\" data-end=\"1798\">For example, AI may cite a book or article that does not exist.<\/li> <li data-start=\"1724\" data-end=\"1798\">It may give a theory the correct name but attribute it to the wrong author or misrepresent its meaning.<\/li> <li data-start=\"1724\" data-end=\"1798\">It may \u201cinvent\u201d logical-sounding connections that have no scientific basis.<\/li> <\/ul> <p data-start=\"1991\" data-end=\"2269\">Hallucination is not intentional deception, but rather a consequence of how these models work: they generate outputs based on probabilistic patterns, without direct access to actual facts, and without the cultural or contextual grounding that would support true understanding.<\/p> <p data-start=\"2271\" data-end=\"2310\">Examples of critical verification<\/p> <p>Check references in databases: If AI cites an article or book, look it up in the university library catalogue or trusted databases (e.g., CAB, Scopus, Web of Science). For instance, if AI claims <em data-start=\"2513\" data-end=\"2584\">\u201cSmith (2019) argues that AI is revolutionizing veterinary medicine,\u201d<\/em> verify whether this study exists and whether the author actually made this statement.<\/p> <p>Cross-check facts in multiple reliable sources: If AI claims <em data-start=\"2740\" data-end=\"2789\">\u201c45% of Hungarian students use AI tools daily,\u201d<\/em> check Statista or other credible surveys. If no such figure appears, do not accept the claim.<\/p> <p>Test logical consistency: Consider whether the answer is logically sound. If AI states, <em data-start=\"2979\" data-end=\"3039\">\u201cAI always both reduces and increases energy consumption,\u201d<\/em> this is contradictory. Ask clarifying questions and consult scholarly literature.<\/p> <p>Analyze language and style: Be cautious if the text is overly general, overly confident, or simplistic, as these may be warning signs. For example: <em data-start=\"3278\" data-end=\"3322\">\u201cAI will solve all problems in the future\u201d<\/em> \u2014 this is exaggerated, unscientific, and not provable.<\/p> <p>Seek expert consultation: If an AI response is connected to an important professional or research decision, consult your supervisor or a subject expert. For example, if AI suggests a statistical method for a thesis, verify with a knowledgeable academic whether it is appropriate and correctly applied.<\/p> <p data-start=\"3691\" data-end=\"3735\">Three critical questions to always ask<\/p> <ol> <li data-start=\"3740\" data-end=\"3846\">Does the referenced source actually exist? (If unsure, librarians can help you locate and check it.)<\/li> <li data-start=\"3740\" data-end=\"3846\">Do other reliable sources support the claim? (Librarians can also guide you on where and how to search.)<\/li> <li data-start=\"3740\" data-end=\"3846\">Is the content logically and academically sound? (If necessary, confirm with your supervisor.)<\/li> <\/ol>","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence, particularly generative models, is increasingly used to support learning, research, and everyday tasks. However, content produced by AI cannot automatically be regarded as reliable or accurate. This makes the use of critical thinking and appropriate verification techniques essential. How to distinguish between valuable and misleading AI content: Content consistency: Check whether the AI\u2019s<\/p>\n","protected":false},"author":58,"featured_media":0,"parent":818,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[25],"tags":[],"class_list":["post-856","page","type-page","status-publish","hentry","category-oktatas-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Critical thinking and evaluating AI-generated content - Hut\u00ffra Ferenc K\u00f6nyvt\u00e1r, Lev\u00e9lt\u00e1r \u00e9s M\u00fazeum<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/univet.hu\/konyvtar\/en\/artificial-intelligence-ai\/kritikus-gondolkodas-es-a-mi\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Critical thinking and evaluating AI-generated content - Hut\u00ffra Ferenc K\u00f6nyvt\u00e1r, Lev\u00e9lt\u00e1r \u00e9s M\u00fazeum\" \/>\n<meta property=\"og:description\" content=\"Artificial Intelligence, particularly generative models, is increasingly used to support learning, research, and everyday tasks. 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