What question did this study set out to answer?

To establish a framework for understanding AI-mediated self-knowledge and its impact on personal insight.

February 24, 2026Open Access

AI-Mediated Self-Knowledge: A Terminological Framework for Epistemic Self-Access Through Structured Dialogue with Artificial Interlocutors

Key Points

To establish a framework for understanding AI-mediated self-knowledge and its impact on personal insight.
Priority registration within the AUGMANITAI framework
Synthesis of self-awareness theory and psychoanalytic theories
Comprehensive definitions maintained in the AUGMANITAI Compendium
AI interactions provide insight into cognitive, affective, and behavioral patterns
Genuine self-knowledge previously inaccessible through traditional introspection
The framework supports compliance with ISO standards

Abstract

Priority registration for the concept of AI-Mediated Self-Knowledge within the AUGMANITAI framework (Ehstand 2025–2026). Author ORCID: 0009-0006-3773-7796. AI-Mediated Self-Knowledge designates the class of epistemic states in which individuals gain genuine insight into their own cognitive, affective, or behavioral patterns through structured AI interaction — insight previously inaccessible through unaided introspection. Synthesizes self-awareness theory (Duval Winnicott 1971), and emerging AI-assisted reflection research. Full definitions maintained in the unpublished AUGMANITAI Compendium. ISO 704 / ISO 1087 / ISO 30042 compliant.

AIに質問

Bookmark

View Full Paper