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Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. (arXiv:2209.03463v2 [cs.CY] UPDATED)
Sept. 12, 2022, 1:20 a.m. | Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang
cs.CR updates on arXiv.org arxiv.org
Chatbots are used in many applications, e.g., automated agents, smart home
assistants, interactive characters in online games, etc. Therefore, it is
crucial to ensure they do not behave in undesired manners, providing offensive
or toxic responses to users. This is not a trivial task as state-of-the-art
chatbot models are trained on large, public datasets openly collected from the
Internet. This paper presents a first-of-its-kind, large-scale measurement of
toxicity in chatbots. We show that publicly available chatbots are prone to
providing …
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