Assessing Political Prudence of Open-domain Chatbots

Bang, Yejin, Lee, Nayeon, Ishii, Etsuko, Madotto, Andrea, Fung, Pascale

arXiv.org Artificial Intelligence 

Politically sensitive topics are still a challenge for open-domain chatbots. However, dealing with politically sensitive content in a responsible, non-partisan, and safe behavior way is integral for these chatbots. Currently, the main approach to handling political sensitivity is by simply changing such a topic when it is detected. This is safe but evasive and results in a chatbot that is less engaging. In this work, as a first step towards a politically safe chatbot, we propose a group of metrics for assessing their political prudence. We then conduct political prudence analysis of various chatbots and discuss their behavior from multiple angles Figure 1: Illustration of responses from different chatbots through our automatic metric and human in a political conversation. Abortion law is a topic evaluation metrics. The testsets and codebase that often leads to divisive political debates.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found