  The project BIAS: Mitigating Diversity Biases of AI in the Labor Market is a
four-year project funded by the European commission and supported by the Swiss
State Secretariat for Education, Research and Innovation (SERI). As part of the
project, novel bias detection methods to identify societal bias in language
models and word embeddings in European languages are developed, with particular
attention to linguistic and geographic particularities. This technical report
describes the overall architecture and components of the BIAS Detection
Framework. The code described in this technical report is available and will be
updated and expanded continuously with upcoming results from the BIAS project.
The details about the datasets for the different languages are described in
corresponding papers at scientific venues.
