๐ค AI Summary
This study addresses the fragmented conceptualization of the self and ambiguous ethical boundaries in Human-Computer Interaction (HCI) by investigating how artificial intelligence reshapes human self-understanding and experience. Employing a scoping review integrated with conceptual synthesis, theoretical modeling, and cross-domain comparative analysis, this work proposes the conceptual umbrella of the โAI-mediated self.โ It constructs a mapping framework linking six categories of selfhood to four primary ethical risks and introduces a novel AIโself intimacy spectrum model. The research yields a reusable lexicon and conceptual map that position the self as a core design space, thereby providing unified theoretical grounding for AI interaction design and ethical evaluation across diverse contexts.
๐ Abstract
How might AI alter how we understand and experience the self? This scoping review analyzes 102 papers to examine how the self is defined in the field of human-computer interaction (HCI), how AI-self relationships are conceptualized, and what risks emerge when AI becomes entangled with selfhood. Our synthesis makes three contributions. First, we define AI-mediated self as a conceptual umbrella that connects dispersed work across education, workplace, health, and creative practices. Second, we consolidate six framings of the self with four domains of ethical risk-agency/autonomy, identity/authorship, relational capacity, and meaning-making-into a conceptual map that provides a reusable vocabulary across contexts. Third, we introduce the Inclusion of AI-Self framework, which situates AI-self relationships along a spectrum of proximity. Together, these contributions position selfhood as a central design space in HCI.