{"id":4150,"date":"2026-04-14T05:47:20","date_gmt":"2026-04-14T05:47:20","guid":{"rendered":"https:\/\/ifx0.com\/?p=4150"},"modified":"2026-04-14T05:47:21","modified_gmt":"2026-04-14T05:47:21","slug":"the-use-of-ai-supported-chatbot-in-psychology-commentary-potential-side-effects","status":"publish","type":"post","link":"https:\/\/ifx0.com\/index.php\/2026\/04\/14\/the-use-of-ai-supported-chatbot-in-psychology-commentary-potential-side-effects\/","title":{"rendered":"The Use of AI-Supported Chatbot in Psychology commentary potential side effects"},"content":{"rendered":"\n<div class=\"abstract-text\"><br \/>\n<p>Background:<br \/>Artificial intelligence (AI) has allowed programmers to create human-like meaningful texts. As a result, chatbots have recently gained great attention. Many people have praised how novel chat applications can create original and human-like essays. However, a few studies discuss the use of AI chatbots in psychology.<br \/><br \/>Goal of Study:<br \/>We aimed to discuss the use of AI chatbots in the field of Psychology. Also, we will summarize previous studies on ChatGPT.<br \/><br \/>Methods:<br \/>This manuscript discusses how AI can be used in this process. We used ChatGPT to create a brief literature review article to show the progress of the OpenAI ChatGPT AI application. Studies on Pubmed were searched. Overall, we found eight studies using the keyword of \u2018\u2019ChatGPT\u2019\u2019. <br \/><br \/>Results:<br \/>Most studies claim that ChatGPT can write original essays, and it is hard to distinguish ChatGPT from human-like writing. We found no study discussing the impact of ChatGPT on psychology.<br \/><br \/>Conclusion:<br \/>ChatGPT can allow writing essays on various topics and be used in many fields, including psychology, medicine, engineering, philosophy, medical education, literature, and computer sciences.<\/p>\n<\/div>\n<center><\/center>\n<p><strong>Keywords:<\/strong> Open Artificial intelligence, ChatGPT, ChatGPT author, academic publishing, psychiatry, psychology, artificial intelligence<\/p>\n<p>\u00a0<\/p>\n<p>Commentary\uff1a<\/p>\n<h2>Commentary: The Unseen Risks of AI Chatbots in Psychology \u2013 A Cautionary Perspective<\/h2>\n<p class=\"ds-markdown-paragraph\">The abstract by Uludag presents a rather optimistic view of AI chatbots in psychology, highlighting their ability to generate human\u2011like text and suggesting their potential application across multiple fields. While the authors acknowledge that few studies have examined AI in psychology, their conclusion \u2013 that ChatGPT \u201ccan be used in many fields including psychology\u201d \u2013 glosses over several significant concerns. This commentary focuses on the potential negative effects that must be considered before embracing AI chatbots in psychological research, education, or practice.<\/p>\n<h3>1. Epistemic Risks: Plausible but False Content<\/h3>\n<p class=\"ds-markdown-paragraph\">ChatGPT and similar large language models (LLMs) are designed to produce fluent, coherent text \u2013 not truthful or accurate information. They are prone to \u201challucinations\u201d: generating confident statements that are factually wrong, unsupported, or entirely fabricated. In psychology, where diagnostic criteria, treatment protocols, and research findings require precision, such errors could have serious consequences. For example, a chatbot might provide incorrect information about mental health conditions, suggest harmful coping strategies, or misrepresent empirical evidence. The abstract itself notes that only eight studies were found using the keyword \u201cChatGPT\u201d \u2013 but a proper systematic review would likely yield far more, suggesting the authors\u2019 own search was incomplete. If researchers rely on chatbots to write literature reviews, they risk propagating errors and omissions.<\/p>\n<h3>2. Undermining Critical Thinking and Academic Integrity<\/h3>\n<p class=\"ds-markdown-paragraph\">The ability of ChatGPT to produce \u201coriginal and human\u2011like essays\u201d raises profound concerns about academic integrity. Students, trainees, and even established researchers might be tempted to delegate writing, analysis, or even conceptual work to AI. This undermines the development of critical thinking, argumentation, and scientific writing skills \u2013 competencies that are essential in psychology. Moreover, using AI to generate manuscripts without transparent disclosure constitutes a form of plagiarism or ghostwriting. The abstract mentions using ChatGPT to \u201ccreate a brief literature review article\u201d \u2013 yet it does not specify which parts were AI\u2011generated, nor does it discuss the ethical implications of listing AI as a co\u2011author (a practice already rejected by major journals).<\/p>\n<h3>3. Lack of Empathy and Therapeutic Alliance<\/h3>\n<p class=\"ds-markdown-paragraph\">In clinical psychology, the therapeutic relationship is a cornerstone of effective treatment. Chatbots lack genuine empathy, emotional understanding, and the ability to respond to nuanced human distress. Over\u2011reliance on AI for mental health support could lead to depersonalised care, where vulnerable individuals receive scripted, context\u2011blind responses. While some chatbot interventions have shown promise for specific conditions (e.g., CBT for mild anxiety), they are adjuncts \u2013 not replacements. The abstract\u2019s uncritical endorsement of AI in psychology ignores the risk that patients may feel unheard, misunderstood, or even harmed by an algorithm that cannot recognise suicidal ideation or trauma responses.<\/p>\n<h3>4. Privacy and Data Security<\/h3>\n<p class=\"ds-markdown-paragraph\">Psychological discussions often involve deeply personal, sensitive information. Chatbots operated by commercial entities (e.g., OpenAI) may store, analyse, or use user inputs for model training. This creates serious privacy risks. Even anonymised data can be re\u2011identified, and breaches could expose confidential mental health records. The abstract makes no mention of data protection, informed consent, or regulatory compliance (e.g., HIPAA, GDPR). Without robust safeguards, deploying chatbots in psychology could violate ethical standards and legal obligations.<\/p>\n<h3>5. Bias and Inequity<\/h3>\n<p class=\"ds-markdown-paragraph\">LLMs are trained on vast internet data that contain historical and societal biases. Consequently, chatbots can reproduce stereotypes related to race, gender, sexuality, and mental health. For example, an AI might associate certain demographics with aggression or assume gender\u2011based emotional responses. In psychological assessment or triage, such biases could lead to misdiagnosis, unequal treatment recommendations, or reinforcement of stigmatising beliefs. The abstract fails to acknowledge this risk, presenting AI as a neutral tool.<\/p>\n<h3>6. Erosion of Professional Judgement<\/h3>\n<p class=\"ds-markdown-paragraph\">If psychologists and trainees begin to rely on chatbots for diagnostic suggestions, treatment planning, or literature synthesis, there is a danger of automation bias \u2013 over\u2011trusting AI output and under\u2011using human judgement. Psychology is not a purely algorithmic discipline; it requires contextual understanding, ethical reasoning, and personalised care. Delegating cognitive tasks to AI could deskill practitioners and reduce the quality of care over time.<\/p>\n<h3>7. Lack of Regulation and Accountability<\/h3>\n<p class=\"ds-markdown-paragraph\">Who is responsible when a chatbot gives harmful psychological advice? The developer? The user? The institution? Currently, no clear liability framework exists. The abstract\u2019s enthusiastic conclusion overlooks this regulatory vacuum. Until there are standards for validation, transparency, and oversight, using chatbots in psychology is ethically precarious.<\/p>\n<h3>Conclusion<\/h3>\n<p class=\"ds-markdown-paragraph\">The abstract by Uludag\u00a0 captures the excitement surrounding AI chatbots but fails to address the substantial negative effects that must be considered. Psychology \u2013 as a discipline centred on human welfare, scientific rigour, and ethical practice \u2013 cannot afford to adopt AI uncritically. Future research should focus not on whether ChatGPT can generate text, but on how to mitigate its risks: ensuring accuracy, preserving human empathy, protecting privacy, reducing bias, maintaining academic integrity, and establishing accountability. Without these safeguards, the integration of AI chatbots into psychology may do more harm than good.<\/p>\n<p>link of study:<a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=4331367\">https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=4331367<\/a><\/p>\n<p><a href=\"https:\/\/www.igi-global.com\/chapter\/the-use-of-ai-supported-chatbot-in-psychology\/371637\">https:\/\/www.igi-global.com\/chapter\/the-use-of-ai-supported-chatbot-in-psychology\/371637<\/a><\/p>\n<p>Uludag, K. (2025). The use of AI-supported Chatbot in Psychology. In <i>Chatbots and Mental Healthcare in Psychology and Psychiatry<\/i> (pp. 1-20). IGI Global Scientific Publishing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Background:Artificial intelligence (AI) has allowed programmers to create human-like meaningful texts. As a result, chatbots have recently gained great attention. Many people have praised how novel chat applications can create original and human-like essays. However, a few studies discuss the <a href=\"https:\/\/ifx0.com\/index.php\/2026\/04\/14\/the-use-of-ai-supported-chatbot-in-psychology-commentary-potential-side-effects\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4150","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts\/4150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/comments?post=4150"}],"version-history":[{"count":1,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts\/4150\/revisions"}],"predecessor-version":[{"id":4151,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/posts\/4150\/revisions\/4151"}],"wp:attachment":[{"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/media?parent=4150"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/categories?post=4150"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ifx0.com\/index.php\/wp-json\/wp\/v2\/tags?post=4150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}