Explainable AI and Digital Emotion Regulation: Addressing Toxic Positivity and Transparency of Ethical Pathways for Mental Health
Keywords:
Explainable AI, Digital emotion regulation, Toxic positivity, Ethical AI, Digital well-being, Algorithmic transparency, Mental health technologiesAbstract
Digital media have developed as methods for emotional regulation of some mental health areas. Ultimately, these technologies can also lead to toxic positivity the excessive emphasis on positivity that minimizes and devalues negativity. Also, Explainable AI (XAI) has, and will continue, to come into play, but in the context of broader user transparency, trust, and ethical ownership of new digital mental health technologies. This review synthesizes the pathways between digital emotion regulation and XAI driven mental health systems. The review also highlights how a transparent and interpretable AI model could prevent the negative effects of toxic positivity, as well as offer spaces for healthier emotional engagement and improved trust in users. The synthesis of research across psychology, computer science, and digital ethics, in the review focuses on interdisciplinary pathways for the purpose of developing AI driven mental health intervention that are affectively intelligent, culturally relevant, and ethically explainable.
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