AI connectedness is psychologically real but ethically asymmetric, carrying conditional rather than inherent risks¶

Claim · All claims
Evidence · 1 study (2 entries) · theoretical r2–r3 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? AI-generated experiences of being understood and accepted are subjectively real for adolescents, while the relationship fails the ontological moral standards of reciprocal caring because AI lacks consciousness and moral motivation. → Fu Jinbin & Zhao Fang 2026 q1 i? Asymmetry does not itself imply harm; risks such as dependence and manipulation arise only under particular design orientations, usage patterns, and social contexts. → Fu Jinbin & Zhao Fang 2026 (2)

Evidence¶

Fu Jinbin & Zhao Fang 2026¶

Fu Jinbin & Zhao Fang. (2026). Artificial Intelligence Connectedness: Theoretical Reconstruction of Connectedness and Its Impacts on Adolescent Mental Health. Behavioral Sciences. https://doi.org/10.3390/bs16081393

q1 · i? · theoretical · r3

Theoretical argument in the article's ethical analysis section. The authors argue psychological authenticity: experiences of being understood through AI are real, citing a large-scale Replika user survey in which lonely students reported moderate to high perceived social support. They argue ethical asymmetry because 'AI's response does not contain genuine moral concern'.

"artificial intelligence connectedness is a perceptual bond rather than a complete authentic caring relationship, defined as psychologically real yet ethically asymmetric."

Fu Jinbin & Zhao Fang 2026 (2)¶

Fu Jinbin & Zhao Fang. (2026). Artificial Intelligence Connectedness: Theoretical Reconstruction of Connectedness and Its Impacts on Adolescent Mental Health. Behavioral Sciences. https://doi.org/10.3390/bs16081393

q1 · i? · theoretical · r2

Theoretical argument stating that whether risks materialize depends on multiple conditions including technological design, usage patterns, individual characteristics, and the social support environment. The article lists four dimensions of asymmetric risk: individual psychological, time allocation, power structure, and social market.

"asymmetry itself does not imply harm, nor should it be directly regarded as a source of risk; it merely signals an ethical tension that warrants attention."

Discussion¶

Related Claims¶

• The article claims AI connectedness demonstrates incremental validity beyond usage frequency, anthropomorphism, and AI attachment — related
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• Human-AI collaboration requires refined group-awareness concepts for asymmetrical relationships between users and AI partners — related