group

Goals

Human factors have a crucial interplay with modern AI and NLP development, from the way data is obtained (e.g. in low-resource scenarios) to the need to understand and control models (e.g. through global explainability methods). AI technology also does not exist in a vacuum but must be validated together with the application experts and stakeholders it should serve.

Overview graphic of my research

In our group, we explore these questions from different perspectives, taking the lense of

  • machine learning: developing new AI technology, like in this ICML paper,
  • natural language processing: developing and evaluating technology while considering the complexity of human language, like in this EMNLP paper, and
  • human-computer interaction: working together with stakeholders to understand their needs and empower more people to safely build AI technology, like in this CHI paper.

We value in our group the different views these perspectives can bring on the same questions and how we can complement each other with different skills in these areas.

Members

We are happy to be part of a thriving community of AI and NLP researchers, being part of the MaiNLP research lab (lead by Barbara Plank), the CIS at Munich University (LMU) and the Munich Center for Machine Learning.