Scholar
Luca Deck
Google Scholar ID: 3hac5y8AAAAJ
Universität Bayreuth
Citations & Impact
Citations
67
H-index
3
i10-index
3
Publications
6
Co-authors
0
Publications
Resume (English only)
Research Experience
- PhD researcher at University of Bayreuth, affiliated with the FIM Research Institute for Information Management
- Contributing to the ABBA-project, developing open educational materials
- Conducted lecture hall experiments on AI fairness with colleague Valentin Mayer
- Delivered a lecture on Explainable AI and Algorithmic Fairness to psychology students at University of Basel
- Participated in the DiDi-Project at University of Vienna, sharing insights from classroom experiments
Background
- Background in engineering, marketing, and computer science
- Core research focuses on the intersection of explainable AI (XAI) and fairness
- Passionate about steering technological advancements toward socially sustainable and equitable directions
- Works on informing regulation and enforcement regarding fair machine learning, effective human oversight, and transparency obligations for AI-generated content
- Engages in interdisciplinary collaboration with computer scientists, ethicists, social scientists, legal experts, and AI-affected communities
Co-authors