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Users show markedly different levels of acceptance for their own AI agents compared to those of others, revealing critical insights into the dynamics of AI integration in online dating.
Users are three times more likely to deploy their own agents than to engage with others', revealing a critical asymmetry that could hinder the effectiveness of agentic recommender systems in online dating.