Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization M Norkute, N Herger, L Michalak, A Mulder, S Gao Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021 | 23 | 2021 |
Cognitive Strategy Prompts: Creativity Triggers for Human Centered AI Opportunity Detection J Schleith, M Norkute, M Mikhail, D Tsar Proceedings of the 14th Conference on Creativity and Cognition, 29-37, 2022 | 10 | 2022 |
Human in the loop information extraction increases efficiency and trust J Schleith, H Hoffmann, M Norkute, B Cechmanek Mensch und Computer 2022-Workshopband, 2022 | 3 | 2022 |
SYSTEMS AND METHODS FOR ANALYSIS EXPLAINABILITY N Herger, NS Hristozova, M Norkute, L Michalak, S Skylaki, D Giofré, ... US Patent App. 17/484,881, 2022 | 1 | 2022 |
QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems O Inel, N Mattis, M Norkute, A Piscopo, T Schmude, S Vrijenhoek, K Balog Proceedings of the 17th ACM Conference on Recommender Systems, 1241-1243, 2023 | | 2023 |
Effects of XAI on Legal Process A Nielsen, S Skylaki, M Norkute, A Stremitzer | | 2023 |
The Role of Explanations of AI Systems: Beyond Trust and Helping to Form Mental Models M Norkute Mensch und Computer 2021-Workshopband, 2021 | | 2021 |