{"title":"基于生成变换器的人工智能聊天机器人对高阶执行功能的潜在认知风险。","authors":"Umberto León-Domínguez","doi":"10.1037/neu0000948","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Chat generative retrained transformer (ChatGPT) represents a groundbreaking advancement in Artificial Intelligence (AI-chatbot) technology, utilizing transformer algorithms to enhance natural language processing and facilitating their use for addressing specific tasks. These AI chatbots can respond to questions by generating verbal instructions similar to those a person would provide during the problem-solving process.</p><p><strong>Aim: </strong>ChatGPT has become the fastest growing software in terms of user adoption in history, leading to an anticipated widespread use of this technology in the general population. Current literature is predominantly focused on the functional aspects of these technologies, but the field has not yet explored hypotheses on how these AI chatbots could impact the evolutionary aspects of human cognitive development. Thesis: The \"neuronal recycling hypothesis\" posits that the brain undergoes structural transformation by incorporating new cultural tools into \"neural niches,\" consequently altering individual cognition. In the case of technological tools, it has been established that they reduce the cognitive demand needed to solve tasks through a process called \"cognitive offloading.\" In this theoretical article, three hypotheses were proposed via forward inference about how algorithms such as ChatGPT and similar models may influence the cognitive processes and structures of upcoming generations.</p><p><strong>Conclusions: </strong>By forecasting the neurocognitive effects of these technologies, educational and political communities can anticipate future scenarios and formulate strategic plans to either mitigate or enhance the cognitive influence that these factors may have on the general population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":19205,"journal":{"name":"Neuropsychology","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Potential cognitive risks of generative transformer-based AI chatbots on higher order executive functions.\",\"authors\":\"Umberto León-Domínguez\",\"doi\":\"10.1037/neu0000948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Chat generative retrained transformer (ChatGPT) represents a groundbreaking advancement in Artificial Intelligence (AI-chatbot) technology, utilizing transformer algorithms to enhance natural language processing and facilitating their use for addressing specific tasks. These AI chatbots can respond to questions by generating verbal instructions similar to those a person would provide during the problem-solving process.</p><p><strong>Aim: </strong>ChatGPT has become the fastest growing software in terms of user adoption in history, leading to an anticipated widespread use of this technology in the general population. Current literature is predominantly focused on the functional aspects of these technologies, but the field has not yet explored hypotheses on how these AI chatbots could impact the evolutionary aspects of human cognitive development. Thesis: The \\\"neuronal recycling hypothesis\\\" posits that the brain undergoes structural transformation by incorporating new cultural tools into \\\"neural niches,\\\" consequently altering individual cognition. In the case of technological tools, it has been established that they reduce the cognitive demand needed to solve tasks through a process called \\\"cognitive offloading.\\\" In this theoretical article, three hypotheses were proposed via forward inference about how algorithms such as ChatGPT and similar models may influence the cognitive processes and structures of upcoming generations.</p><p><strong>Conclusions: </strong>By forecasting the neurocognitive effects of these technologies, educational and political communities can anticipate future scenarios and formulate strategic plans to either mitigate or enhance the cognitive influence that these factors may have on the general population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>\",\"PeriodicalId\":19205,\"journal\":{\"name\":\"Neuropsychology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuropsychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1037/neu0000948\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/2/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuropsychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/neu0000948","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/1 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景介绍聊天生成再训练转换器(ChatGPT)代表了人工智能(AI-聊天机器人)技术的突破性进展,它利用转换器算法来增强自然语言处理能力,并促进其用于解决特定任务。这些人工智能聊天机器人可以通过生成类似于人在解决问题过程中提供的口头指令来回答问题。目的:就用户采用率而言,ChatGPT 已成为历史上增长最快的软件,预计该技术将在普通人群中广泛使用。目前的文献主要集中在这些技术的功能方面,但该领域尚未探讨这些人工智能聊天机器人如何影响人类认知发展的进化方面的假设。论文:神经元再循环假说 "认为,通过将新的文化工具纳入 "神经壁龛",大脑会发生结构性转变,从而改变个体的认知。就技术工具而言,已经证实它们通过一种称为 "认知卸载 "的过程降低了解决任务所需的认知需求。在这篇理论文章中,我们通过前向推理提出了三个假设,即 ChatGPT 等算法和类似模型可能会如何影响下一代人的认知过程和结构:通过预测这些技术对神经认知的影响,教育界和政界可以预测未来的情景,并制定战略计划,以减轻或加强这些因素可能对大众认知产生的影响。(PsycInfo Database Record (c) 2024 APA, all rights reserved)。
Potential cognitive risks of generative transformer-based AI chatbots on higher order executive functions.
Background: Chat generative retrained transformer (ChatGPT) represents a groundbreaking advancement in Artificial Intelligence (AI-chatbot) technology, utilizing transformer algorithms to enhance natural language processing and facilitating their use for addressing specific tasks. These AI chatbots can respond to questions by generating verbal instructions similar to those a person would provide during the problem-solving process.
Aim: ChatGPT has become the fastest growing software in terms of user adoption in history, leading to an anticipated widespread use of this technology in the general population. Current literature is predominantly focused on the functional aspects of these technologies, but the field has not yet explored hypotheses on how these AI chatbots could impact the evolutionary aspects of human cognitive development. Thesis: The "neuronal recycling hypothesis" posits that the brain undergoes structural transformation by incorporating new cultural tools into "neural niches," consequently altering individual cognition. In the case of technological tools, it has been established that they reduce the cognitive demand needed to solve tasks through a process called "cognitive offloading." In this theoretical article, three hypotheses were proposed via forward inference about how algorithms such as ChatGPT and similar models may influence the cognitive processes and structures of upcoming generations.
Conclusions: By forecasting the neurocognitive effects of these technologies, educational and political communities can anticipate future scenarios and formulate strategic plans to either mitigate or enhance the cognitive influence that these factors may have on the general population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
Neuropsychology publishes original, empirical research; systematic reviews and meta-analyses; and theoretical articles on the relation between brain and human cognitive, emotional, and behavioral function.