29 citations · 53 across the 5 of their papers we have counts for
5 papers
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…
Alfie: An Interactive Robot with a Moral Compass
Cigdem Turan, Patrick Schramowski, Constantin Rothkopf +1
This work introduces Alfie, an interactive robot that is capable of answering moral (deontological) questions of a user. The interaction of Alfie is designed in a way in which 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…
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition
Cigdem Turan, Kin-Man Lam, Xiangjian He
For image recognition, an extensive number of methods have been proposed to overcome the high-dimensionality problem of feature vectors being used. These methods vary from unsuperv…