This paper addresses the issue of societal bias in Large Language Models (LLMs), specifically Llama 2 7B Chat model. It uses activation steering to probe and mitigate biases related to…
Continue readingThis article by Weizi Liu of the University of Illinois explores the gender biases in the design and interaction of conversational agents (CAs) like voice assistants and chatbots. Many of…
Continue readingThe article presents GEST, a new dataset for measuring gender stereotypical reasoning in masked language models and English-to-X machine translation systems. GEST contains samples compatible with 9 Slavic languages and…
Continue readingThe study investigates the biases in large language models (LLMs) when handling subjective natural language processing (NLP) tasks. Using the POPQUORN dataset, the study tests LLMs on their understanding of…
Continue readingThis Johns Hopkins University study investigates how the perceived gender of a voice assistant impacts user behaviour and the assistant’s error mitigation capabilities. It reveals that voice assistants that apologize…
Continue readingThe article presents insights on the role of digital labor platforms in online freelancing, particularly focusing on social identities such as gender, race, ethnicity, and occupation. It discusses how these…
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