How GPT-3 responds to different publics on climate change and Black Lives Matter: A critical appraisal of equity in conversational AI

Understand

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 populations in the assessment loop.