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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. (arXiv:2209.13627v1 [cs.AI])
cs.CL updates on arXiv.org arxiv.org
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.
While the parameters of these large language models are improving, concerns
persist that these models might not work equally for all subgroups in society.
Despite growing discussions of AI fairness across disciplines, there lacks
systemic metrics to assess what equity means in dialogue systems and how to
engage different …
arxiv change climate climate change conversational conversational ai equity evidence gpt gpt-3