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.
Event details of
New Perspectives on Bias and Discrimination in Language Technology
- Start date
- 4 November 2024
- End date
- 5 November 2024
- Location
- Science Park, Matrix building
Call for Abstracts (deadline: 15 September 2024)
Organisation
This workshop is organised by Katrin Schulz, Leendert van Maanen, Jelle Zuidema, Oskar van der Wal and Dominik Bachmann as part of the project The biased reality of online media - Using stereotypes to make media manipulation visible, which is financed by the Dutch Research Council (NWO). In this project we integrate knowledge from AI, psychology and linguistics to develop measures for social biases in language models and humans, and then to use these to study the influence of our media consumption on our beliefs.