LLMs, Gender, and Us
Chair: Hannah Devinney, Postoc at the Department of Thematic Studies at Linköping University
Generative AI, such as ChatGPT, have experienced a sharp rise in the past year, opening conversations about – among other concerns – bias, representation, stereotyping, and toxicity. These types of AI-systems are now being applied in a wide variety of context including chatbots, internet search, virtual assistants, predictive text, and wholesale text generation. How will these technologies impact the way we experience, talk about, and perform gender? What stereotypes do we risk (re)entrenching through the use of these AI-systems? Are there ways to leverage these tools to instead mitigate or counter patriarchy and cisnormativity? Who might benefit, and at whose expense? The purpose of this roundtable is to discuss and explore the ways gender, language, and power meet within the context of generative AI.