The digital transformation of mental health practice increasingly requires psychologists to integrate technological literacy with emotional and cognitive skills. This study presents a pilot project combining Visual Education and Artificial Intelligence (AI) through a Computer Vision model for emotional recognition. A convolutional neural network (CNN), based on MobileNetV2, was trained to identify facial emotions and tested for educational use within a serious game for psychologists’ professional development. Using transfer learning, the model achieved an accuracy of about 75% under controlled conditions but only 15.54% on a biased dataset. These results reveal both the potential and limitations of AI in emotional learning. The findings are discussed in relation to visual literacy, digital mental health, and AI ethics, illustrating how computational bias can become a pedagogical tool for psychology professionals.