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The rapid diffusion of generative artificial intelligence (GenAI) is reorganizing the ecology in which cognition, social understanding, agency, authorship, and emotional regulation develop. This critical integrative review treats GenAI as a developmentally consequential interactive artifact: responsive, adaptive, linguistically fluent, multimodal, and increasingly embedded in learning, play, and communication. Drawing on sociocultural, constructivist, ecological, extended-cognition, AI-literacy, and hybrid-learning perspectives, we introduce the Hybrid Mind Framework. It defines human-AI coupling as recurrent, contingent coordination and distinguishes immediate AI-supported performance from durable changes in unaided competence, competence during coupling, trust, support-seeking, or authorship. Four domains are considered: cognitive hybridization, social-epistemic calibration, affective scaffolding and support-seeking, and agency/authorship. The review integrates emerging GenAI evidence with research on earlier responsive technologies and differentiates early childhood, middle childhood, early adolescence, and later adolescence. Existing evidence indicates possible short-term affordances and risks, but long-term developmental effects remain largely untested. Rather than treating GenAI as either a pedagogical miracle or a developmental threat, we propose that AI be designed and governed as part of children's developmental ecology. Testable propositions and age-calibrated implications distinguish observed findings from theory-derived and precautionary claims.
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Claudio Longobardi (2026) studied this question.
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