AI Chatbots Can Diminish Cognitive Powers, Study Shows
AstudybytheMassachusettsInstituteofTechnologyrevealedthatusingAIchatbotsmayimpactcognitiveabilitiesnegatively.
麻省理工學院的一項研究表明，使用人工智慧聊天機器人可能會對認知能力產生負面影響。
BrainscanswereutilizedtoevaluatethecognitiveloadinparticipantswhoreceivedassistancefromAI.
利用腦部掃描來評估接受人工智慧幫助的參與者的認知負荷。
TheresearchersnotedthatAIusersdisplayedlowerperformancelevelsinneural, linguistic, andbehavioralaspects.
研究人員指出，人工智慧使用者在神經、語言和行為方面的表現水準較低。
Participantsweresplitintothreegroupstoworkonessayswithdifferentlevelsofexternalassistance.
參與者被分成三組，在不同程度的外部援助下撰寫論文。
TheMITteamdiscoveredthatcognitiveactivitydecreasedwithincreaseduseofexternaltoolslikeAI.
麻省理工學院的研究團隊發現，隨著人工智慧等外部工具的使用增加，認知活動會減少。
ThosewhoheavilyreliedonAItoolsdemonstratedweakerconnectivityintheirwork.
那些嚴重依賴人工智慧工具的人在工作中表現出較弱的連結性。
Participantswhosolelyusedtheirbrainsduringthetasksexhibitedthestrongestneuralnetworks.
在執行任務時僅使用大腦的參與者表現出最強大的神經網路。
Usersofsearchenginesfellsomewhereinbetweentheremotetoolreliancespectrum.
搜尋引擎使用者對遠端工具的依賴程度介於兩者之間。
IndividualsleaningonAIshowedreducedengagementlevelsinspecificpartsofthebrain.
依賴人工智慧的個體大腦特定部位的參與度降低。
Conversely, thosewhotackledassignmentsindependentlyshowedbettermemoryretentionandbrainactivation.
相反，那些獨立完成作業的人表現出更好的記憶力和大腦活躍度。
MITresearcherswarnedofpotentialcognitivecostsassociatedwithAIdependenceandemphasizedtheneedforfurtherexplorationintoAI'simpactonlearning.
麻省理工學院的研究人員警告說，依賴人工智慧可能會產生認知成本，並強調需要進一步探索人工智慧對學習的影響。
RecentfindingsfromMITmirroredresultsfromaMicrosoftsurveyofknowledgeworkers, indicatingreducedcognitiveeffortwithAIusage.
麻省理工學院最近的研究結果與微軟對知識工作者的調查結果相似，顯示使用人工智慧可以減少認知工作量。
ThestudyhighlightedtheincreasedadoptionofAIatwork, with27%ofwhite-collarworkersreportingfrequentAIuse, asignificantrisesince 2024.
該研究強調了人工智慧在工作中的應用日益廣泛，27% 的白領表示經常使用人工智慧，這一比例自 2024 年以來顯著上升。
A study by the Massachusetts Institute of Technology revealed that using AI chatbots may impact cognitive abilities negatively.
Brain scans were utilized to evaluate the cognitive load in participants who received assistance from AI.
The researchers noted that AI users displayed lower performance levels in neural, linguistic, and behavioral aspects.
Participants were split into three groups to work on essays with different levels of external assistance.
The MIT team discovered that cognitive activity decreased with increased use of external tools like AI.
Those who heavily relied on AI tools demonstrated weaker connectivity in their work.
Participants who solely used their brains during the tasks exhibited the strongest neural networks.
Users of search engines fell somewhere in between the remote tool reliance spectrum.
Individuals leaning on AI showed reduced engagement levels in specific parts of the brain.
Conversely, those who tackled assignments independently showed better memory retention and brain activation.
MIT researchers warned of potential cognitive costs associated with AI dependence and emphasized the need for further exploration into AI's impact on learning.
Recent findings from MIT mirrored results from a Microsoft survey of knowledge workers, indicating reduced cognitive effort with AI usage.
The study highlighted the increased adoption of AI at work, with 27% of white-collar workers reporting frequent AI use, a significant rise since 2024.
Play News
or click any sentence to play
More News coming up
