About the Collection
In June 2024, artificial intelligence (AI) researchers, industry experts, and enthusiasts gathered at Bielefeld University to commemorate the final year of the Data-NInJA research training group: https://dataninja.nrw
Embracing the theme of "Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches", junior researchers in particular were invited to present their work. The resulting collection contains all accepted extended abstracts, covering a broad range of topics in AI and machine learning, including applications in healthcare, industry, and robotics. They explore cutting-edge techniques such as reinforcement learning, active learning with large language models, and interpretable machine learning. Additionally, the submissions address important issues like trustworthiness, fairness, privacy, and explainability of AI systems in various contexts.
Current Issue
Date: 25.-27.06.2024
Organized by: Data-NInJA research training group
Editor: Ulrike Kuhl
