ODT - THESIS TOPIC: Zoltán Kekecs: The psychology of deep ...


	Login Forum Organisation officers member institutions resolutions (in Hung.) by-laws (in Hung.) regulations Doctoral program doctoral schools by institution by research field by number ceased working academic staff member by name by research topic archives thesis topic proposals by doctoral school by research field by research topic supervision of PhD students search students Theses defended by institution by research field by name by date by doctoral school Naturalized degrees by institution by research field by name by date Habilitation presentations by institution by branch of science by name Documents (all in Hung.) public documents news legal backgrounds guidelines Contacts contact details partners

Thesis topic proposal

The psychology of deep learning neural network models, such as large language models and large multimodal models.

THESIS TOPIC PROPOSAL

Institute: Eötvös Loránd University, Budapest
psychology
Doctoral School of Psychology

Thesis supervisor: Zoltán Kekecs
Location of studies (in Hungarian): ELTE PPK PDI
Abbreviation of location of studies: PDI

Description of the research topic:

This project aims to explore deep learning neural network models, such as large language models and large multimodal models, from a psychological perspective. The project investigates the benefits of using psychological and neuroscience tools and terminology when working with these models, and for understanding and modifying their representations and behavior. We will work towards establishing the field of artificial intelligence psychology (AI psychology).

Required language skills: angol
Number of students who can be accepted: 1

Deadline for application: 2024-05-15

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).