ARDUOUS 2026 : 10th International Workshop on Annotation of Real World Data for Artificial Intelligent Systems
Link: https://arduous.eu
When 11th October 26
Where KI’2026, Bremen, Germany
Submission Deadline 9th May 2026
Notification Due 20th May 2026
Final Version Due 30th May 2026
We encourage contributions from statisticians, AI researchers, ethicists, and domain experts (e.g., clinicians, legal scholars) addressing the following themes:
- New Taxonomies of Uncertainty: Developing new definitions of uncertainty adapted to the landscape of modern AI. These include definitions that move beyond the standard statistical distinctions to encompass ethical, cultural, and contextual uncertainties central to professional judgment.
- Epistemic vs. Hermeneutic Uncertainty: Distinguishing between “what we don’t know” (epistemic) and “what is open to interpretation” (hermeneutic). How can AI systems signal the latter without falsely quantifying it?
- Methodological Innovations: Novel methods for quantifying uncertainty in generative models trained on near-universal datasets, including metrics for semantic uncertainty, and frameworks for tracking reliability across interactive and multi-agent systems.
- Visualization & Uncertainty Communication: Moving beyond standard confidence intervals through innovations in visual analytics. We seek designs that help users navigate high-dimensional spaces, signal not only statistical uncertainty but also when outputs are technically sound yet open to interpretation, and link uncertainty to downstream decisions.
- Professional Practice & Sense-Making: Participatory frameworks and empirical studies evaluating how uncertainty communication impacts the judgment, accuracy, and agency of human experts in collaborative workflows.
Authors unsure about the suitability of their work are encouraged to submit a preliminary abstract or draft to the editors for feedback. All submissions will undergo the journal’s standard peer review process, handled by the Special Issue Editors.
Submission guidelines:
The proceedings will be published in the Communications in Computer Science and Information Science Springer series: https://www.springer.com/series/7899
Format:
For your submission you should use one of the following dedicated templates:
- (.doc format) https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238706/data/v5
- (LaTeX) https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238648/data/v8
The papers should not exceed the following page limits including references:
- Full paper: 12 pages
- Short paper: 8 pages
- Poster and demo paper: 3 to 5 pages
Submission: through the EasyChair submission system (URL to be provided soon)
Review process: the review process will be double blind
Important dates:
Submission deadline: 9th May 2026
Notification: 20th May 2026
Camera ready version: 30th May 2026
Workshop: 11th August 2026
The 10th International Workshop on Annotation of Real World Data for Artificial Intelligent Systems is held as part of the German Conference on Artificial Intelligence (KI) 2025 in Bremen, Germany https://ki2026.gi.de/
Organising committee:
Gregory Tourte, University of Oxford, UK
Kristina Yordanova, University of Greifswald, DE
Emma Tonkin, University of Bristol, UK
If you have any questions, please, do not hesitate to contact us at organizers@arduous.eu