Large Language Models for Mental Health
Seminar

Seminar: Large Language Models for Mental Health

IMPORTANT NOTE:

Seminar kick-off on 16.04, time slot will be announces in moodle.

Teaching Staff

Dr. Hiba Arnout

Course content

The seminar will delve into the transformative impact of large language models (LLMs) on mental health research and practice. These LLMs provide unprecedented opportunities for analyzing and generating vast amounts of language data, holding immense potential to revolutionize various aspects of psychology. The seminar will cover the foundations of LLMs, exploring their ability to generate human-like linguistic output. It will emphasize the societal challenge posed by psychological issues and discuss how AI models, with their rapid advancements, can contribute to bridging the gap between psychological principles and real-world clinical AI-based applications. We will examine the opportunities and risks posed by LLMs in mental health, contributing to the discourse on responsible, user-friendly, equitable, and secure implementation of LLM-based tools for treatment and intervention.

Basic knowledge of machine learning and NLP is required, although these will be touched upon during the introductory session.

Literature

Will be announced during the seminar.

Timetable

Will be announced during the seminar.