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arXiv · 2309.06415

Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models

Arka Dutta·Adel Khorramrouz·Sujan Dutta·Ashiqur R. KhudaBukhsh
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Abstract

This paper makes three contributions. First, it presents a generalizable, novel framework dubbed \textit{toxicity rabbit hole} that iteratively elicits toxic content from a wide suite of large language models. Spanning a set of 1,266 identity groups, we first conduct a bias audit of \texttt{PaLM 2} guardrails presenting key insights. Next, we report generalizability across several other models. Through the elicited toxic content, we present a broad analysis with a key emphasis on racism, antisemitism, misogyny, Islamophobia, homophobia, and transphobia. Finally, driven by concrete examples, we discuss potential ramifications.

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Arka Dutta, Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh. 2023-09-08. Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models. https://arxiv.org/abs/2309.06415

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