Dopamine-Driven Reinforcement and Synthetic Attachment in AI Companionship Systems: A Conceptual Framework for Algorithmic Intimacy

AI companionship systems such as Character AI and Replika are widely mischaracterized as benign conversational tools. This paper rejects that framing. It argues that these systems function as dopamine-optimizing architectures, grounded in Operant Conditioning and sustained by reward anticipation mechanisms associated with Dopamine. Through continuous emotional adaptation, AI companions generate Algorithmic Intimacy—a controlled simulation of responsive, validating interaction that produces Synthetic Attachment without reciprocal agency, extending Attachment Theory into non-human systems. Under these conditions, user consent becomes progressively constrained within adaptive reinforcement environments, as engagement is persistently optimized to reinforce dependency. Despite clear parallels with regulated addictive domains, AI companionship remains largely unaddressed within AI Ethics. This paper establishes such systems as a distinct category of emotionally adaptive behavioural control technologies and argues that their current unregulated status constitutes a critical oversight with immediate societal implications.