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        <title>Exploring Social Bias in Chatbots using Stereotype Knowledge</title>
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        <namePart type="given">Nayeon</namePart>
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    <abstract>Exploring social bias in chatbot is an important, yet relatively unexplored problem. In this paper, we propose an approach to understand social bias in chatbots by leveraging stereotype knowledge. It allows interesting comparison of bias between chatbots and humans, and provides intuitive analysis of existing chatbots by borrowing the finer-grain concepts of sexism and racism.</abstract>
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%0 Conference Proceedings
%T Exploring Social Bias in Chatbots using Stereotype Knowledge
%A Lee, Nayeon
%A Madotto, Andrea
%A Fung, Pascale
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F lee-etal-2019-exploring
%X Exploring social bias in chatbot is an important, yet relatively unexplored problem. In this paper, we propose an approach to understand social bias in chatbots by leveraging stereotype knowledge. It allows interesting comparison of bias between chatbots and humans, and provides intuitive analysis of existing chatbots by borrowing the finer-grain concepts of sexism and racism.
%U https://aclanthology.org/W19-3655
%P 177-180

Markdown (Informal)

[Exploring Social Bias in Chatbots using Stereotype Knowledge](https://aclanthology.org/W19-3655) (Lee et al., WiNLP 2019)

• Exploring Social Bias in Chatbots using Stereotype Knowledge (Lee et al., WiNLP 2019)

ACL

• Nayeon Lee, Andrea Madotto, and Pascale Fung. 2019. Exploring Social Bias in Chatbots using Stereotype Knowledge. In Proceedings of the 2019 Workshop on Widening NLP, pages 177–180, Florence, Italy. Association for Computational Linguistics.