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The Psychosocial Impacts of Generative AI Harms
The rapid emergence of generative Language Models (LMs) has led to growing concern about the impacts that their unexamined adoption may have on the social well-being of diverse user groups.
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
The extant literature on generative LMs has primarily examined bias via explicit identity prompting.
Avoiding bias when inferring race using name-based approaches
The goal of this article is to assess the extent to which algorithmic bias is introduced using different approaches for name based racial inference.
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