Artificial intelligence and uncertainties in education: imagery representations of health course students

The was aim of this work to understand the imagery representations students courses in health area relation object knowledge called artificial intelligence. study developed São Caetano do Sul, Paulo, Brazil. Students from schools participated (n=83). Data were collected using Free Word Evocation Technique (TALP). analysis based on matrix IRaMuTeQ software. observed salience, findings, revealed center image (artificial intelligence) centered elements "Technology", "Future" and "Innovation", being link senses perceived by after questioned about how they think study. during their training process as future professionals. As a flexible system (peripheral system), way thinking, we highlight “Robots”, “ChatGPT” “Fear”, thus revealing uncertainties education, interacting learning new context. However, it possible observe, contrast, representing linked problem “unemployment”.