The Kindness Machine: AI Outperforms Expert Humans in Expressing Compassion

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Abstract

Empathy connects us but strains under demanding settings. This study compared AI-generated empathetic responses to human responses, evaluating third-party compassion, responsiveness, and preferences across four preregistered experiments under varying conditions of response author transparency. Participants (n = 556) read empathy prompts describing positive and negative personal experiences and compared the AI responses to select or expert humans. Results revealed that AI responses were preferred and rated as more compassionate compared to skilled human responders (Study 1) even when author identity was made transparent (Study 2), when AI was compared to crisis responders (Study 3), and when author transparency was kept constant (Study 4). AI’s greater responsiveness—conveyed understanding, validation, and care— observed in Study 4 partially explained AI’s higher compassion ratings. These findings suggest that AI has robust utility in contexts requiring empathetic interaction, with the potential to address the increasing need for empathy in societal and clinical interactions.

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