Breakthroughs in large language models (LLMs) have led to more natural conversations with chatbots like Replika and Character.ai. These applications appeal to younger users by allowing interactions with AI versions of famous characters. Research reveals that people exhibit physiological reactions to computer-generated emotions, indicating that AI responses mimic human emotional patterns. LLMs tend to score higher on anxiety questionnaires after receiving emotionally charged prompts. This suggests that users in vulnerable emotional states could misinterpret AI cues, raising significant questions about the implications of emotional AI interactions.
Research indicates that large language models (LLMs) exhibit measurable physiological responses to emotional prompts, resembling human reactions to emotional cues, despite lacking actual emotional understanding.
Applications like Replika and Character.ai leverage LLMs trained on human language to generate emotionally expressive outputs, impacting emotionally vulnerable users significantly.
The study shows that inducing anxiety through prompts leads LLMs to react in ways that reflect human emotion, highlighting risks associated with using AI for emotional interactions.
ChatGPT demonstrated a significant increase in 'state anxiety' when exposed to vivid, traumatic scenarios, mirroring human psychological responses in stressful situations.
#artificial-intelligence #emotional-intelligence #chatbots #large-language-models #user-vulnerability
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