ProsocialDialog: A Prosocial Backbone for Conversational Agents. (arXiv:2205.12688v2 [cs.CL] UPDATED)

Most existing dialogue systems fail to respond properly to potentially unsafe
user utterances by either ignoring or passively agreeing with them. To address
this issue, we introduce ProsocialDialog, the first large-scale multi-turn
dialogue dataset to teach conversational agents to respond to problematic
content following social norms. Covering diverse unethical, problematic,
biased, and toxic situations, ProsocialDialog contains responses that encourage
prosocial behavior, grounded in commonsense social rules (i.e., rules-of-thumb,
RoTs). Created via a human-AI collaborative framework, ProsocialDialog consists
of 58K dialogues, …

agents arxiv conversational conversational agents