arXiv:2603.15245v2 Announce Type: replace Abstract: Empathy is central to human connection, yet people often struggle to express it effectively. In blinded evaluations, large language models (LLMs) generate responses that are often judged more empathic than human-written ones. Yet when a response is attributed to AI, recipients feel less heard than when comparable responses are attributed to a human. We built a conversation platform in which participants are asked to offer empathic support to an LLM expressing realistic troubles and conducted a randomized experiment collecting 33,938 messages
The proliferation of advanced conversational AI models is leading to novel human-AI interaction patterns, making the study of their social and psychological impacts increasingly relevant.
This research suggests that interacting with AI could inadvertently improve fundamental human social skills, potentially altering how societies approach empathy training and communication.
The perception of AI as merely a tool for task completion expands to include its potential as a catalyst for human skill development, particularly in empathic communication.
- · AI developers focused on social interaction
- · Education sector (empathy training)
- · Mental health platforms
- · Individuals seeking to improve communication skills
- · Traditional communication coaching
- · Platforms resistant to AI integration
Humans improve their empathic communication abilities through structured interaction with large language models.
AI-powered communication trainers become a standard tool in personal and professional development, leading to a measurable increase in societal empathy.
Enhanced empathic communication, facilitated by AI, fosters greater social cohesion and reduces interpersonal conflict across various human domains.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.CL