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Semi-Supervised Topic Modeling for Gender Bias Discovery in English and Swedish
Gender bias has been identified in many models for Natural Language Processing, stemming from implicit biases in the text corpora used to train the models.
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.
Theories of "Gender" in NLP Bias Research
The rise of concern around Natural Language Processing (NLP) technologies containing and perpetuating social biases has led to a rich and rapidly growing area of research.
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