AI in Psychological Sciences

Speaker: Dr. Wivine Blekic (LinkedIn)

This session aims to demystify the core concepts of machine learning (ML) and illustrate its application in the mental health field. The workshops starts with an introduction to ML, covering its basic principles, types of algorithms, and explaining how and why these tools can be utilized to analyze complex datasets.

Dr. Blekic will present specific case studies where machine learning approaches have been employed to identify predictors of Post-Traumatic Stress Disorder (PTSD) and suicidal ideation. The goal of this workshop is to equip attendees with the tools to (1) understand the benefits of ML approaches in mental health, (2) comprehend the methods section of a paper that used ML approaches, and (3) have some references to further explore ML approaches on their own.

Organized by VAIA (Speaker: Dr. Pieter Fivez)

This workshop will contextualize Generative Artificial Intelligence for researchers and practitioners in the field of psychology. A theoretical framework will be followed by a discussion of several prototypical use cases, including such applications as automated literature review and research assistance for setting up methodologically sound experiments. Specific attention will also be paid to ethical and practical challenges, such as plagiarism and fabricated citations by ChatGPT.