Menschzentrierte künstliche Intelligenz
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The rapid development of artificial intelligence (AI) in recent years has brought enormous opportunities but has also posed new risks. AI research has so far focused primarily on the development of systems that are intended to solve increasingly complex tasks with the greatest possible accuracy. As a result, the decisions and actions of such systems are becoming increasingly difficult to comprehend. HCAI is a doctoral research and education program run jointly by the University of Applied Sciences Upper Austria and Johannes Kepler University Linz. The program is funded by the Austrian Science Fund (FWF). It aims to put people and their needs at the center of AI research. Methods are being developed to make artificial intelligence more understandable, tran sparent and fair for humans on the one hand, and to support the interaction between humans and AI systems on the other hand. The doctoral students working in this program receive interdisciplinary training and work at the forefront of research and development of a new generation of human-centric AI technology.
| Title | Year(s) | DOI / Link |
|---|---|---|
| The Impact ofDifferential Privacy onRecommendation Accuracy andPopularity Bias; In: Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV | 2024 | 10.1007/978-3-031-56066-8_33 |
| Measuring Bias inSearch Results Through Retrieval List Comparison; In: Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V |
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Research Fields
| 2024 |
| 10.1007/978-3-031-56069-9_2 |
| Moral reasoning in a digital age: blaming artificial intelligence for incorrect high-risk decisionsCurrent Psychology | 2024 | 10.1007/s12144-024-06658-2 |
| Loops: Leveraging Provenance and Visualization to Support Exploratory Data Analysis in NotebooksIEEE Transactions on Visualization and Computer Graphics | 2025 | 10.1109/tvcg.2024.3456186 |
| D-Tour: Semi-Automatic Generation of Interactive Guided Tours for Visualization Dashboard Onboarding.IEEE transactions on visualization and computer graphics | 2025 | 10.1109/tvcg.2024.3456347 |
| Iguanodon: A Code-Breaking Game for Improving Visualization Construction Literacy.IEEE transactions on visualization and computer graphics | 2025 | 10.1109/tvcg.2024.3468948 |
| A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios | 2024 | 10.1145/3640457.3688138 |
| Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human DecisionsACM Transactions on Interactive Intelligent Systems | 2024 | 10.1145/3665647 |
| CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space.Journal of cheminformatics | 2024 | 10.1186/s13321-024-00840-1 |
| The Changing Nature of Human-AI Relations: A Scoping Review on Terminology and Evolvement in the Scientific LiteratureInternational Journal of Human-Computer Interaction | 2025 | — |
| Peer or Steer: A Pilot Study Exploring Human-AI Collaboration in Creative FieldsProceedings of the ACM on Human-Computer Interaction (PACMHCI) | 2025 | — |