29 citations · 53 across the 5 of their papers we have counts for
3 papers · 1 filter
Gender Bias in BERT -- Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
Sophie Jentzsch, Cigdem Turan
Pretrained language models are publicly available and constantly finetuned for various real-life applications. As they become capable of grasping complex contextual information, ha…
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
Patrick Schramowski, Cigdem Turan, Nico Andersen +2
Artificial writing is permeating our lives due to recent advances in large-scale, transformer-based language models (LMs) such as BERT, its variants, GPT-2/3, and others. Using the…
BERT has a Moral Compass: Improvements of ethical and moral values of machines
Patrick Schramowski, Cigdem Turan, Sophie Jentzsch +2
Allowing machines to choose whether to kill humans would be devastating for world peace and security. But how do we equip machines with the ability to learn ethical or even moral c…