Implicit Perception of Differences between NLP‐Produced and Human‐Produced Language in the Mentalizing Network (Adv. Sci. 12/2023)

Natural Language Processing Chatbots may be able to talk like humans, but they cannot fool our brains. Subjectively indistinguishable chatbot and human language elicits distinct patterns of brain activity in the mentalizing network regions. A promising blueprint emerges by adding neural data as an e...

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Detalles Bibliográficos
Autores principales: Wei, Zhengde, Chen, Ying, Zhao, Qian, Zhang, Pengyu, Zhou, Longxi, Ren, Jiecheng, Piao, Yi, Qiu, Bensheng, Xie, Xing, Wang, Suiping, Liu, Jia, Zhang, Daren, Kadosh, Roi Cohen, Zhang, Xiaochu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Inside Front Cover
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131831/
http://dx.doi.org/10.1002/advs.202370068
Descripción
Sumario:Natural Language Processing Chatbots may be able to talk like humans, but they cannot fool our brains. Subjectively indistinguishable chatbot and human language elicits distinct patterns of brain activity in the mentalizing network regions. A promising blueprint emerges by adding neural data as an extra index to the assessment criteria for standard Turing tests. More details can be found in article number 2203990 by Xiaochu Zhang and co‐workers. [Image: see text]

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