Dear all,

I would like to inform you about a call for papers for a joint workshop at the 49th German Conference on Artificial Intelligence, 11 - 14 August 2026: Bremen, Germany.

See https://www.csmc.uni-hamburg.de/ki2026-chai for details.

CHAI: Aim & scope

Inferring ancient cultural traditions from written artifacts, AI offers many opportunities to assist humanities scholars in their work. Both editorial projects and computer-aided evaluations such as text and data mining or linguistic analyses require the collection, storage, and linking of data in order to quickly identify core information of the written artefacts. Time-consuming procedures, such as the creation of dictionaries or the use of bibliographies through the automatic linking of data, enables the creation of extensive data sets and generation of additional information. Thus, AI supports humanities scholars to focus them more on their core task.

To ensure that the use of AI methods among humanities scholars is not merely theoretic, the applicability of algorithms in the environment of humanities scholars needs to be specifically examined or also intentionally developed humanities-centred.

AISSER: Aim & scope

This workshop has two distinct focuses, aiming to the field of AI in society and education more broadly. The first focuses on the technical aspects of applying AI methods in society and education. The second takes a more interdisciplinary approach, considering social and educational aspects of using AI in education.

Technical Perspective: The use of AI-based systems to support teaching and learning has been developing for more than 4 decades, but its rise has increased markedly in recent years, due to the increased use of e-learning tools during the COVID-19 pandemic and the recent explosion of generative AI. We are at a key moment in the development of this field. Experts in AI and experts in education must collaborate to optimize the use of generative AI in teaching and learning processes. This workshop aims to provide a platform for presentating new proposals and reflecting on the current state in this field of such social relevance. In this first part, we are particularly interested in the technical aspects of generate AI applications. We will focus on specific techniques used for content creation (generative AI), student profiling (machine learning), learning analytics, and explainable AI methods for teachers’ dashboards. The aim is to provide a clear picture of the approaches used in education, and their particularities.

Interdisciplinary Perspectives: the workshop is also dedicated to AI methods in and for education and educational research. This includes the study of educational and teaching generative AI applications, as well as the social sciences, economics, and humanities, including all subjects such as education and teaching in action, labor market research with a focus on educational needs, history of education and related cultural heritage of education. Other topics include informative predictions for decision-making and behavioral science perspectives. On the one hand, we focus on the connections between AI, education, and society. This includes quantitative and qualitative research, data science methods for analyzing educational and labor market data, AI approaches for recommender systems, and digital learning. On the other hand, we focus on how AI can be used to push the boundaries of the field. This includes developing new methods (including methods using AI), finding and making accessible new data sources, enriching data, and more. In both cases, it is essential that the different perspectives communicate and understand each other, which is also one of the goals of this workshop. More broadly, we are interested in the ways in which AI methods affect education, businesses, and labor markets. This includes examining how all sectors of education, from primary to tertiary, are affected by and respond to these methods. The design of digital futures with AI raises several questions for education: At the broadest level are legislative and normative questions; at the level of companies are questions about investment decisions and maintaining productivity and workforces; at the level of individuals are questions about qualifications and which skills need to be applied and possibly learned anew. Thus, skills and qualifications are at the heart of AI in education and educational research. Although digital methods and AI are emerging topics in thesefields, the scope of this workshop is not limited to these areas. It is also dedicated to reflecting on methods and results in the field of AI. We are particularly interested in interdisciplinary exchange and dissemination with a clear focus on AI methods.

Call for Papers

The workshop gathers AI researchers and interested humanities scholars. Topics of interest include, but are not limited to the following:

AI for the interdisciplinary work of humanities scholars, AI for linking data from the humanities scholars, Digitized written artefact representation and description formats, AI methods for written artefact analysis, OCR for the humanities scholars, Human-aware agents supporting tasks of humanities scholars, AI techniques applied to education, Explainable AI, Application of generative AI in education, Multimodal learning analytics, AI techniques and models in analyzing the educational data, Intelligent tutoring systems, Intelligent learning/e-learning systems, Student profiling for personalized learning, AI-based apps and simulations, AI to support learners with disabilities, Automatic formative assessment, Dialogue-based tutoring systems, Exploratory learning environments, Classroom monitoring tools, Teacher focused apps, Automatic assessment systems.

Submission: Submitted abstracts/papers must

be 1 - 3 'standard' pages in length (abstract); be 5 - 9 'standard' pages in length (short papers); be 10 - 15 'standard' pages in length (regular papers); contain your research question(s), the methodological approach and your findings; be written in English; contain author names, affiliations, and email addresses; be formatted according to the CEUR-WS-Template (use the 1-column style): http://ceur-ws.org/Vol-XXX/CEURART.zip be submitted in PDF and the source file. Submission should be made through the EasyChair conference management system. The submission link is: https://openreview.net/group?id=KI/2026/Workshop/CHAI_AISSER_202