Artificially Mediated Identity Disorder (AMID): A Proposed Framework for Understanding Identity Disruption in AI-Interactive Environments

Title: Artificially Mediated Identity Disorder (AMID): A Proposed Framework for Understanding Identity Disruption in AI-Interactive Environments Description: This paper introduces Artificially Mediated Identity Disorder (AMID), a novel psychological framework for understanding identity disturbance arising from sustained human-AI interaction. AMID is characterized by four core domains: AI-induced identity fusion, anthropomorphic projection, delusional leakage beliefs, and narrative grandiosity. The framework addresses an emerging clinical concern where vulnerable populations, particularly adolescents, develop identity disruption, parasocial attachment, and reality testing impairment through AI-mediated environments. The work presents provisional diagnostic criteria, three clinical subtypes, qualitative analysis of real-world manifestations, and policy recommendations for AI safety and clinical practice. AMID represents technology-mediated amplification of existing personality vulnerabilities across DSM-5 clusters, requiring urgent interdisciplinary attention from mental health professionals, educators, and technologists. Keywords: artificial intelligence, identity disorder, adolescent psychology, parasocial relationships, digital mental health, AI safety, personality disorders, technology addiction Note: Restricted access pending collaborative review. Contact author for access requests. This is a theoretical and observational research paper intended for scholarly discussion and peer review. Licenses Creative Commons Attribution Non Commercial No Derivatives 4.0 International