(Photo by Jorgen Hendriksen on Unsplash)

Call for Papers

We are pleased to announce the Workshop on Machine Teaching for Humans (MT4H), to be held as part of the ECML-PKDD 2025 Conference. This workshop aims to bring together researchers and practitioners from academia and industry to explore the intersection of machine teaching and explainable AI (XAI), focusing on methods, applications, and theoretical advancements that enhance AI systems’ interpretability, usability, and trustworthiness.

Topics of Interest

We invite submissions on (but not limited to) the following topics:

• Theoretical foundations and algorithms for machine teaching in XAI
• Human-centric teaching paradigms for AI explainability
• Machine teaching applications in real-world explainable systems (e.g., healthcare, education, finance)
• Robustness and adversarial challenges in machine teaching (e.g., training-set poisoning)
• Evaluation metrics and benchmarks for teaching-driven explainability
• Ethical and fairness considerations in machine teaching for XAI
• Cognitive and psychological perspectives on teaching AI systems
• Case studies demonstrating successful applications of machine teaching for explainability

Submission Format and Guidelines

We welcome the following types of contributions:

• Regular Papers: Full-length papers (6-8 pages, excluding references) presenting novel research, methods, or applications.
• Extended Abstracts: Short papers (2-4 pages) summarising ongoing work, preliminary results, or visionary ideas.
• Oral-Only Presentations: Authors of recently published or submitted work relevant to the workshop themes are invited to present their contributions orally (no new paper submission required).

Submissions must follow the ECML 2025 formatting template, and should be submitted in the single-blind format, as a single PDF file, via the workshop’s CMT submission platform. Submissions will be reviewed by the workshop program committee based on originality, relevance, quality, and clarity.

Please use this link to the ECML-PKDD 2025 workshop track to submit your paper:
https://cmt3.research.microsoft.com/ECMLPKDDWorkshopTrack2025/Submission/Index
Click on the “Create new submission” button and select the 22nd entry in the dropdown menu, “Third Workshop on Machine Teaching for Humans (MT4H).”

Accepted regular paper submissions will be included in the joint workshop proceedings published by Springer and made available to attendees. Authors of extended abstracts and oral-only presentations may also submit revised versions to other venues.

At least one author of each accepted paper must have a full registration and attend the workshop to present it. Papers without a full registration or in-presence presentation won’t be included in the post-workshop Springer proceedings.

Important Dates

• Submission Deadline: June 14, 2025 (23:59 Anywhere on Earth)
• Notification of Acceptance: July 17, 2025
• Workshop Date: September 19, 2025

Program Committee

• Cèsar Ferri (Technical University of Valencia)
• Bettina Finzel (University of Bamberg)
• Darío Garigliotti (University of Bergen)
• José Hernández Orallo (Technical University of Valencia)
• Sebastian Lapuschkin (Fraunhofer HHI)
• Rita P. Ribeiro (University of Porto, INESC TEC)
• Maria Riveiro (University of Jönköping)
• Téo Sanchez (Université Paris Saclay)
• Raul Santos-Rodriguez (University of Bristol)
• Ute Schmid (University of Bamberg)
• Patrick Shafto (Rutgers University)
• Hans Simon (Max Planck Institute Saarbrücken and Ruhr-Uni-Bochum)
• Adish Singla (Max Planck Institute for Software Systems)
• Jan Arne Telle (University of Bergen)
• Gabriele Tolomei (Sapienza University of Rome)
• Jerry Zhu (University of Wisconsin-Madison)
• Sandra Zilles (University of Regina)