[CfP] 6th Workshop on Humanities-Centred AI and 3rd International Workshop on AI in Society, Education and Educational Research (CHAI+AISSER 2026), Joint Workshop

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
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