Does Gender Matter? Towards Fairness in Dialogue Systems

@article{Liu2020DoesGM,
  title={Does Gender Matter? Towards Fairness in Dialogue Systems},
  author={Haochen Liu and Jamell Dacon and Wenqi Fan and H. Liu and Zhiwei Liu and Jiliang Tang},
  journal={ArXiv},
  year={2020},
  volume={abs/1910.10486}
}
Recently there are increasing concerns about the fairness of Artificial Intelligence (AI) in real-world applications such as computer vision and recommendations. For example, recognition algorithms in computer vision are unfair to black people such as poorly detecting their faces and inappropriately identifying them as “gorillas”. As one crucial application of AI, dialogue systems have been extensively applied in our society. They are usually built with real human conversational data; thus they… Expand
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