Conceptual framework enables individuals to gain self-awareness through AI interaction, suggesting new insights into personal patterns.
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 & Wicklund 1972), psychoanalytic mirroring (Kohut 1971; Winnicott 1971), and emerging AI-assisted reflection research. Full definitions maintained in the unpublished AUGMANITAI Compendium. ISO 704 / ISO 1087 / ISO 30042 compliant.
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Andreas Ehstand (2026) studied this question.
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