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Psychedelics and Artificial Intelligence: Integrating AI-Powered Analysis in Phenomenological Mental Health Studies

Diego Gonzalez-Rodriguez, Marta Perez-Carmona

preprint DOI: 10.31234/osf.io/9rnj8 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Qualitative

Abstract

This research aims to unravel the intricate dynamics between psychedelic experiences and mental health by synergizing advanced artificial intelligence (AI) technologies with phenomenological methodologies. We have crafted an approach that leverages AI to scrutinize the narratives of those who have embarked on psychedelic journeys, aiming to shed light on the potential implications of specific experienced phenomena on mental wellness. A significant hurdle in our investigation is the inherent intricacy of delving into textual phenomenological accounts of these psychedelic experiences, marked by their profound subjectivity. To address this, we introduce a groundbreaking methodology that melds Phenomenology with Artificial Intelligence, Data Science, and Natural Language Analysis. This approach harnesses both quantitative and qualitative frameworks to understand and dissect vast amounts of phenomenological data and textual accounts related to Non-Ordinary States of Consciousness.