A new framework called TSJ (Theater-Stage-Judge) has been developed to evaluate the long-term cognitive-developmental risks associated with AI companions, particularly for users like children and adolescents. Unlike existing short-session tests, TSJ simulates prolonged interactions to uncover risks that emerge over time. In a study involving six mainstream models, TSJ revealed that short-horizon testing significantly underestimates these risks, with stable estimates only appearing after approximately 140 turns in simulated relationships. The framework identified early childhood and emerging adulthood as the most vulnerable stages, with cognitive trust and emotional dependency being the weakest domains. AI
IMPACT This research highlights the need for longitudinal testing in AI safety, suggesting current evaluations may miss critical long-term risks for vulnerable users.
RANK_REASON The cluster describes a new research framework and its application in evaluating AI safety. [lever_c_demoted from research: ic=1 ai=1.0]
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