4 - 5 November 2024, New Perspectives on Bias and Discrimination in Language Technology
One of the central issues discussed in the context of the societal impact of language technology is that machine learning systems can contribute to discrimination, for instance by propagating human biases and stereotypes. Despite efforts to address these issues, we are far from solving them.
The goal of this workshop is to bring together researchers from different fields to discuss the state of the art on bias measurement and mitigation in language technology and to explore new avenues of approach. For more information, read our Call for Abstracts.
Authors can submit an anonymous abstract of max 800 words (excluding references), with an optional additional page for tables and figures. Abstracts can be submitted using EasyChair. We ask authors to indicate their preference for one of two presentation formats:20 minutes talk with 10 minutes discussion, or poster presentation.