Mental health includes our emotional, psychological, and social well-being. It affects how we think, feel, and act. It also helps determine how we handle stress, relate to others, and make healthy choices. Mental health is important at every stage of life, from childhood and adolescence through adulthood. Due to COVID-19 pandemic, demand for mental health services has increased dramatically and Pandemic-related mental illness has become a serious issue in society and work environments. Because of the costs associated with treatment, many individuals who experience mental health problems do not receive timely professional input. Cost is not the only contributing factor; other reasons include a shortage of therapists and the stigma associated with mental illness.

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Artificial Intelligence is already transforming different industries, including psychology. Researchers are using machine learning to improve predictions, diagnoses, and treatments for mental illnesses. The intersection of machine learning and psychology is rapidly creating more precise, personalised mental health care. In addition to mental health, machine learning has been used in other aspects of psychology. Machine learning algorithms have been used for identifying personality types based on psychological methods and facilitate the staff recruitment process and job interviews in organisations. Applications of Machine Learning has also been used widely in Cognitive Science to improve the understanding of mental processes.

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The aim of this special session is to collect scientific works devoted to new challenges in the field of Psychology, which can be addressed by applying Machine Learning techniques.