29 citations · 52 across the 4 of their papers we have counts for
4 papers
Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work
Sabine Theis, Sophie Jentzsch, Fotini Deligiannaki +3
The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-traffic control leads to systems that are practical and efficient, and to some ext…
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…
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models
Sophie Jentzsch, Kristian Kersting
Humor is a central aspect of human communication that has not been solved for artificial agents so far. Large language models (LLMs) are increasingly able to capture implicit and c…
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…