VI Ciclo de Conferencias de Transferencia y Divulgación de Conocimiento Científico 06-10-25

VI Ciclo de Conferencias de Transferencia y Divulgación de Conocimiento Científico 06-10-25

🎙 Guillermo de Jorge Botana, José Ángel Martínez Huertas, Timanfaya Hernández Martínez, Alfredo Rodríguez Muñoz 👥 12K 📅 October 16, 2025 ⏱ 127 min 👁 159 📄 conference 🧭 2026-08-13
Available in: English (current) Français

Keywords

inteligencia artificialpsicologíagrandes modelos de lenguajerepresentaciones internastransferencia de conocimiento

Summary

The video is a recording of the sixth edition of a conference cycle on scientific knowledge transfer, organized by the Spanish Journal of Psychology, the Official College of Psychology of Madrid, and the Complutense University of Madrid. The session focuses on the intersection of psychology and artificial intelligence, with two main talks. The first talk, by Guillermo de Jorge Botana, is titled ‘The rapture of artificial intelligence and the way to be present.’ He discusses the impact of large language models (LLMs) on psychology, emphasizing the importance of internal representations in neural networks. He explains the basics of neural networks, the role of hidden layers, and the autoregressive nature of language, drawing parallels with stock market predictions. He suggests that psychology can contribute by studying the human plausibility of these models and by using them to model normative and non-normative behavior. The second talk, by José Ángel Martínez Huertas, is titled ‘Measuring psychological constructs with large language models: The devil is in the details.’ Although the transcription cuts off before his talk, the title suggests a focus on the methodological challenges of using LLMs for psychological measurement. The session is introduced by Timanfaya Hernández Martínez, the Dean of the College, who emphasizes the importance of evidence-based practice and the role of psychology in AI regulation. The video is primarily in Spanish and is aimed at a professional audience.

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Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information is high, as it provides a comprehensive overview of the intersection between psychology and AI, particularly focusing on large language models. The argumentation is solid, with the speaker building a logical case for why psychology should engage with AI, using examples from neural network architecture and language processing. He effectively explains complex concepts like hidden states and autoregressive models in an accessible manner. The talk also raises important questions about the human plausibility of AI and the potential for psychological research to inform AI development. The argumentation is well-structured and persuasive, though it could benefit from more concrete examples of psychological applications.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is evident in the speaker’s references to established research, such as the work of Rumelhart and McClelland on parallel distributed processing. However, the talk does not provide explicit citations for many claims, which limits the ability to verify sources. The quality of sources is generally high, given the academic context and the involvement of the Spanish Journal of Psychology. The title accurately reflects the content, which is a conference on knowledge transfer in psychology and AI. The video includes a brief introduction and two talks, with no commercial breaks. The audience appears to be professionals and academics, and the content is appropriately technical for that audience.

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Title / Content Match

The title accurately describes the event as a cycle of conferences on scientific knowledge transfer, with the specific focus on psychology and AI mentioned in the description.

Quality & Reliability

8/10

The video is a scientific conference organized by the Spanish Journal of Psychology and the Official College of Psychology of Madrid, featuring academic speakers from recognized universities. The content is well-structured, references established research, and avoids sensationalism. However, it lacks explicit citations of specific studies during the talks, and the recording quality is moderate.

Key Moments

Cited Sources

Concurring Sources

Contribution & Novelties

The video provides a valuable perspective on the intersection of psychology and AI, emphasizing the importance of internal representations in large language models. It offers a clear explanation of neural network mechanisms and suggests ways psychology can contribute to AI research, such as studying human plausibility and modeling psychological constructs. The talk also highlights the need for psychology to engage with AI from an ethical and social perspective.

Pour aller plus loin :

108 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a slightly lower score in technical level, indicating that the content is accessible yet substantive. The overall balance suggests a well-rounded presentation suitable for a professional audience.

Reliability 8/10