A critical appraisal of equity in conversational AI: Evidence from auditing GPT-3's dialogues with different publics on climate change and Black Lives Matter

@article{Chen2022ACA,
  title={A critical appraisal of equity in conversational AI: Evidence from auditing GPT-3's dialogues with different publics on climate change and Black Lives Matter},
  author={Kaiping Chen and Anqi Shao and Jirayu Burapacheep and Yixuan Li},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.13627}
}
Autoregressive language models, which use deep learning to produce human-like texts, have become increasingly widespread. Such models are powering popular virtual assistants in areas like smart health, finance, and autonomous driving, and facilitating the production of creative writing in domains from the entertainment industry to science communities. While the parameters of these large language models are improving, concerns persist that these models might not work equally for all subgroups in… 

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