2 papers
cs.CL2024
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review
Catherine Ikae, Mascha Kurpicz-Briki
Studying bias detection and mitigation methods in natural language processing and the particular case of machine translation is highly relevant, as societal stereotypes might be re…
cs.CL2024
The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European Languages
Alexandre Puttick, Leander Rankwiler, Catherine Ikae +1
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 Ed…