KI 2023 – Doctoral Consortium
| The proceedings of the doctoral consortium are now available in the GI digital library at https://dl.gi.de/handle/20.500.12116/42394 |
KI2023 takes place in Berlin, Germany, September 26–29, 2023. It is the 46th edition of the German conference on Artificial Intelligence (abbreviated KI for “Künstliche Intelligenz”) organized in cooperation with the Fachbereich Künstliche Intelligenz der Gesellschaft für Informatik (GI-SIG AI). KI is one of the major European AI conferences and traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal place for exchanging news and research results on theory and applications. The technical program of KI2023 comprises paper presentations as well as tutorials and workshops.
Doctoral Concortium Format
There will be a PhD workshop with keynote and oral presentations during the KI conference, providing an opportunity for obtaining feedback on PhD projects. Doctoral students may also participate in a mentoring program that will connect students with experienced researchers in their field. The organizers will try to schedule personal meetings between mentors and students. Students can indicate their interest in this program when submitting their contribution, or directly by contacting the organizers. The schedule of the meetings will be announced ahead of the event. The organizers plan to publish extended abstracts as proceedings of the PhD workshop, probably with the GI-DL (GI Digital Library).
Additionally, there will be the opportunity to participate in the main conference poster session where the participants will have the chance to present their research to a larger audience.
Schedule (September 26, 2023)
Time | Speaker | Topic |
|---|---|---|
09:00 | Frieder Stolzenburg | Welcome |
Natural Language Processing | ||
09:00 | Thorben Schomacker | Automatic German Easy Language (Leichte Sprache) Simplification: Data, Requirements and Approaches |
09:20 | Yusuf Brima | Self-Supervised Learning of Speech Representation via Redundancy Reduction |
09:40 | Frederic Voigt | Adapting Natural Language Processing Strategies For Stock Price Prediction |
Learning, Games and Creativity | ||
10:00 | Andreas Schliebitz | Continuous Classification of Image Data Streams using Contrastive Learning and Cluster Analysis |
10:20 | Florian Rupp | Learning the Generation of Balanced Game Levels |
10:40 | Luís Espírito Santo | Theoretical Learning Creators and Creative Scientists |
11:00 | Coffee Break | |
Explainable Artificial Intelligence | ||
11:30 | Marc Normann | Students’ Acceptance of Explainable, AI-based Learning Path Recommendations in an Adaptive Learning System |
11:50 | Franz Motzkus | xAI-based Model Improvement for Detection and Image Segmentation |
12:10 | Stefan Stiller | Understanding Agricultural Landscape Dynamics with Explainable Artificial Intelligence |
12:30 | Lunch Break / Networking | |
Awareness and Security | ||
14:00 | Dipendra Yadav | Evaluating Dangerous Capabilities of Large Language Models: An Examination of Situational Awareness |
14:20 | Abhishek Shrestha | Exploring Adversarial Transferability in Real-World Scenarios: Understanding and Mitigating Security Risks. |
14:40 | Kai Hendrik Wöhnert | Artificial Intelligence Based Identity Learning for Detection of Malicious Activity in Distributed Networks |
15:00 | 15:45 | Networking / End |
Application
To apply for the KI2023 doctoral consortium, please submit the following documents (in a single pdf file) to the EasyChair submission system <https://easychair.org/conferences/?conf=ki2023> (Track Doctoral Consortium) until July 10, 2023.
An abstract of your thesis, formatted according to the GI-LNI guidelines, preferably in LaTeX <https://gi.de/service/publikationen/lni>, that describes the problem being addressed, the motivation for addressing the problem, related work, the proposed approach, and planned or already executed evaluation. Target length of the abstract is 4–10 pages, including references.
A short CV that covers background (name, university, supervisors), education (degree sought, year/status in a degree, previous degrees), employment, and experience in research (publications, presentations, conferences attended) of max. 2 pages.
Please indicate in your application if you want to participate in the mentoring program.
The extended abstract could be structured in the following way:
Introduction
Motivation
Research Question
Related Work
Approach
(Planned) Evaluation
Abstract submissions should be in English and must have a single author who is pursuing the proposed PhD.
Important Dates
Submission Deadline: July 10, 2023
Doctoral Consortium: September 26, 2023
Program Committee
Frieder Stolzenburg, Harz University of Applied Sciences
Korinna Bade, Anhalt University of Applied Science
Tobias Huber, University of Augsburg
Ute Schmid, University of Bamberg
Dietmar Seipel, Univ. Wuerzburg
Diedrich Wolter, Univ. Bamberg
Özgür Lütfü Özcep, University of Lübeck
Marcel Waleska, University of Würzburg
Matthias Thimm, FernUniversität in Hagen
Kerstin Bach, Norwegian University of Science and Technology
Contact
Should you have any questions regarding the doctoral consortium at KI2023, please do not hesitate to contact Prof. Dr. Frieder Stolzenburg (fstolzenburg@hs-harz.de)