AI INNOVATIONS AND MUSIC PSYCHOLOGY: THE ROLE IN DRIVING SUSTAINABLE MENTAL WELLNESS (SDG 3) AND QUALITY MUSIC EDUCATION (SDG 4) IN THE DIGITAL ERA

Abstract

Music is an elementary element of human life, deeply reflecting emotion, creativity, and social interaction. The digital age has brought about integration between music psychology and artificial intelligence (AI), revealing new dimensions in the analysis and generation of musical emotions. This article investigates the interdisciplinary dynamics among humans, music, technology, and emotion, with a particular focus on the role of AI as an affective co-creator, capable of interpreting physiological data (e.g., EEG, heart rate) and behavioural signals to generate personalised music experiences and to promote real-time emotional responsiveness.

The results of the knowledge synthesis revealed that AI has high potential to enhance adaptive learning and data-driven music. The synthesis of current scholarship indicates that AI holds substantial potential to advance adaptive music learning and data-driven music therapy. The application of this innovation plays a crucial role in achieving the Sustainable Development Goal (SDG 3: Good Health and Well-being) through expanding access to effective and equitable mental health services and supporting, SDG 4: Quality Education through the creation of adaptive learning systems that respond to all learners.

Critical challenges requiring nuanced consideration include AI music ethics, questions of authorship in human–AI co-creation, and the authenticity of machine-generated emotions. Key recommendations emphasize the development of AI models that are sensitive to users’ cultural and emotional contexts (cultural–emotional sensitivity) and the promotion of research on human–AI affective synergy to preserve a balance between technological innovation and core human values.