An Approach of AI as a Practice of Escapism

Abstract

This paper examines the phenomenon of AI-mediated escapism by clarifying its scope, risks, and implications for design. The primary objective is to conceptualize how artificial intelligence reshapes traditional forms of escapism through personalization, immersive interaction, and adaptive feedback. Using a conceptual synthesis approach, this work integrates insights from human-computer interaction, psychology, and media studies. The analysis highlights three key findings: 1) AI intensifies escapism by enhancing interactivity, empathy simulation, and agency; 2) the spectrum of AI-mediated escapism ranges from therapeutic and time-bound uses to problematic patterns associated with misinformation, avoidance, and excessive immersion; and 3) ethical design principles—such as transparency, time-awareness, and emotional boundary safeguards—are essential to mitigate risks. The implications extend to HCI, UX design, and policy, suggesting that responsible frameworks can balance the benefits of AI-driven escapism with its potential harms. Limitations include the conceptual and narrative scope of this review, which does not provide empirical validation. Future research should apply empirical methods to test and refine the proposed framework. Overall, this study provides a structured understanding of AImediated escapism and offers design guidelines for creating safer, more ethical interactive systems.