Human AI

Abstract

Mental health professionals working for children with special needs have noted that the overall subjective well-being of the caregivers of these children also requires to be assessed and addressed. The different factors of well-being can be addressed through different parameters of artificial intelligence like digital therapeutics, human-computer interaction, and algorithms to design ethics of automation. Therefore, the chapter aims to investigate the impact of the subjective well-being of the caregiving mothers of special children on their level of coping, stress, perceived social support, and hope and the role of machine learning and artificial intelligence. An algorithm based on these domains which can induce human-computer interaction may help in enhancing the well-being of caregivers as well as direct them for proper training and rearing of children with special needs. Therefore, intervention techniques with emotional artificial intelligence should also be designed to focus on elevating the overall subjective well-being of the caregiver of a child with special needs.