Speaker

Presentation in Spanish

ALBERT BONILLO

AUTONOMOUS UNIVERSITY OF BARCELONA. SPAIN

He is a full-time Associate Professor in the Department of Psychobiology and Methodology of Health Sciences at the Autonomous University of Barcelona (UAB). His association with the UAB began as a pre- and postdoctoral fellow in 1997, and he has held various positions as associate professor, assistant professor, lecturer and associate professor. In terms of teaching, he is a professor of Data Analysis. 

He has written around fifty indexed articles (more than half, Q1 or Q2), more than ten funded projects, books and chapters, around sixty conference participations and has co-directed a dozen doctoral theses. His h-index is 15, with more than 420 citations. He has eight teaching and three research positions, and has taught in all cycles at various universities. His current field of applied research is psychopathy and its methodological aspects, and his basic research focuses on aspects related to statistics and probability. 

In management, he is director of his Department, member of various UAB Commissions and has held positions ranging from director of his Area of Knowledge to Coordinator of the Third Cycle. He was appointed by the Presidency of the Generalitat of Catalonia as a member of the Governing Council of the CEO (Centre for Studies and Opinion). 

Artificial Intelligence in Psychological Assessment

Artificial Intelligence (AI) has emerged as a disruptive tool across multiple disciplines, and psychological assessment is no exception to this transformation. In the context of the Fourth Industrial Revolution, driven by AI and robotics, psychologists—whether researchers or applied professionals—must adapt to these advancements. Both AI and psychological assessment are vast and complex fields, and their integration can be approached from various perspectives. 

This symposium will provide a broad overview of both domains, exploring different ways AI intersects with psychological assessment. We will analyze, among other aspects, users’ attitudes toward AI through network analysis and the challenges posed by implementing this technology in psychology. These challenges are highly relevant, encompassing ethical, technological, and integration issues within existing processes. 

Additionally, we will address a topic of particular interest to clinical professionals: whether AI can replace the data analyst in questionnaire assessments and its applicability in other types of analyses. We will also discuss how AI can be used by clinicians for both dimensional (psychometric) and categorical (diagnostic) assessment. 

As speakers, we believe now is the time to reflect and prepare for a future in which collaboration between psychology and AI will be essential to enhancing the accuracy, efficiency, and personalization of assessment processes. AI should not only assist in drafting this abstract—it can and should become our daily ally. 

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