How LLM interfere with cognitive processes? // How LLM interfere with cognitive processes?

The subject is only described in English. B2/C1 level of English is mandatory to apply.

Large Language Models (LLMs) have revolutionized AI in recent years, with tools like ChatGPT and GitHub Copilot assisting humans in complex tasks. However, the interaction between these models and human cognitive processes remains largely unexplored. Specifically, do LLMs enhance the quality of human decision-making? Could they introduce cognitive biases, or even subtly influence human decisions?

This Ph.D. thesis aims to investigate the impact of LLMs on human cognition, with a focus on decision-making, judgment, and potential biases introduced by AI-driven tools. The research will be at the intersection of computer science, AI, and behavioral psychology, incorporating experimental methods to test hypotheses about how LLMs interact with human cognitive processes.

The candidate will formulate hypotheses, design experiments, and work closely with behavioral psychologists to conduct these studies. The Ph.D. candidate should have a strong background in computer science and AI and be motivated to learn about behavioral psychology and experimental design.

Note on the Ph.D. Journey: While the broad theme and direction of the research are outlined here, the specifics of the project will evolve during the course of the Ph.D. thesis, shaped by ongoing discoveries and collaboration with the supervisors. Flexibility and adaptability will be key components of this research.
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The subject is only described in English. B2/C1 level of English is mandatory to apply.

Large Language Models (LLMs) have revolutionized AI in recent years, with tools like ChatGPT and GitHub Copilot assisting humans in complex tasks. However, the interaction between these models and human cognitive processes remains largely unexplored. Specifically, do LLMs enhance the quality of human decision-making? Could they introduce cognitive biases, or even subtly influence human decisions?

This Ph.D. thesis aims to investigate the impact of LLMs on human cognition, with a focus on decision-making, judgment, and potential biases introduced by AI-driven tools. The research will be at the intersection of computer science, AI, and behavioral psychology, incorporating experimental methods to test hypotheses about how LLMs interact with human cognitive processes.

The candidate will formulate hypotheses, design experiments, and work closely with behavioral psychologists to conduct these studies. The Ph.D. candidate should have a strong background in computer science and AI and be motivated to learn about behavioral psychology and experimental design.

Note on the Ph.D. Journey: While the broad theme and direction of the research are outlined here, the specifics of the project will evolve during the course of the Ph.D. thesis, shaped by ongoing discoveries and collaboration with the supervisors. Flexibility and adaptability will be key components of this research.
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Début de la thèse : 01/10/2025

Contrat doctoral EDSTIC-UCA ou EUR-DS4H

Université Côte d'Azur

84 STIC - Sciences et Technologies de l'Information et de la Communication

The profile is only described in English. B2/C1 level of English is mandatory to apply. The candidate must hold a Master or equivalent degree when starting the PhD. The candidate required skills are: - C1 level in English (possibly B2 close to reach C1) - Excellent programming and systems skills. We will work in a Linux environment with python and with its data science libraries (numpy, pandas, seaborn, scikit-learn, statmodels). We also use Git. If the candidate is not fluent in Python, they must be *fluent* in another language and able to learn Python fast. - Excellent communication skills. An important part of the Ph.D. is to communicate on the results. The candidate must be ready to write high quality papers and give stunning talks. These skills will be nurtured during the Ph.D. thesis. - Curious, highly motivated, hard worker, autonomous, perfectionist. A good sign you have a profile to make an excellent Ph.D. thesis is when you cannot stand to do not understand something and can work night and day to get it (or make your stuff work). Before deciding to make a Ph.D. thesis, you must read references in this page to be sure you made the right decision http://www-sop.inria.fr/members/Arnaud.Legout/phdstudents.html If you apply, I expect that you will directly get in touch with me very early in the process (arnaud.legout@inria.fr) to discuss if you are a good fit for the subject and I am a good fit as a supervisor. Discussing early with a potential supervisor about the subject and the supervision style (even if you are not sure to apply) is a sign of maturity and will be highly appreciated.
The profile is only described in English. B2/C1 level of English is mandatory to apply. The candidate must hold a Master or equivalent degree when starting the PhD. The candidate required skills are: - C1 level in English (possibly B2 close to reach C1) - Excellent programming and systems skills. We will work in a Linux environment with python and with its data science libraries (numpy, pandas, seaborn, scikit-learn, statmodels). We also use Git. If the candidate is not fluent in Python, they must be *fluent* in another language and able to learn Python fast. - Excellent communication skills. An important part of the Ph.D. is to communicate on the results. The candidate must be ready to write high quality papers and give stunning talks. These skills will be nurtured during the Ph.D. thesis. - Curious, highly motivated, hard worker, autonomous, perfectionist. A good sign you have a profile to make an excellent Ph.D. thesis is when you cannot stand to do not understand something and can work night and day to get it (or make your stuff work). Before deciding to make a Ph.D. thesis, you must read references in this page to be sure you made the right decision http://www-sop.inria.fr/members/Arnaud.Legout/phdstudents.html If you apply, I expect that you will directly get in touch with me very early in the process (arnaud.legout@inria.fr) to discuss if you are a good fit for the subject and I am a good fit as a supervisor. Discussing early with a potential supervisor about the subject and the supervision style (even if you are not sure to apply) is a sign of maturity and will be highly appreciated.