CFP: 4th Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM’26) @ ECMLPKDD

[Andrea Passerini]

CALL FOR PAPERS 

The 4th Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM’26) 

https://sml.disi.unitn.it/hldm26.html

ECML-PKDD 2026

September 7-11th, 2026

Following the success of the first three editions, the HLDM 2026 workshop aims at gathering together a diverse set of researchers addressing the different aspects that characterise effective hybrid decision-making. These range from machine learning approaches that explicitly account for the human-in-the-loop and the downstream goal of the human-machine system, to decision making strategies and HCI principles encouraging a rich and diverse interaction between the human and the machine, to cognitive aspects pinpointing potential pitfalls, misunderstandings and sub-optimal behaviour, legal and regulatory aspects highlighting requirements and constraints that trustworthy and ethical hybrid decision making systems should satisfy. The workshop will feature invited talks, a poster session, presentations of the best contributions and a final discussion. 

We invite submissions on a broad range of topics revolving around hybrid human-machine learning and decision-making, including but not limited to:

• learning to defer
• learning to complement
• selective classification
• cost-sensitive learning
• active learning
• calibration of learning models
• interactive machine learning
• human-in-the-loop machine learning
• trustworthy hybrid decision-making
• human-LLM decision making
• cognitive aspects in hybrid decision making
• theoretical models of hybrid decision making
• hybrid decision-making interfaces
• hybrid decision-making strategies
• hybrid decision-making applications
• hybrid decision-making in multiparty settings
• human factors and decision making
• regulation of hybrid decision-making systems
• assessment of hybrid decision-making systems
• ethics of hybrid decision making
• legal aspects of decision support systems

The goal of the workshop is to foster discussions on the most promising research directions and relevant challenges around hybrid human-machine learning and decision-making. We accept the following types of submissions:

1. Short papers (6 pages + references) presenting work-in-progress, position papers or open problems with clear and concise formulations of current challenges. Short papers should be anonymized (double-blind review process) and formatted according to the ECMLPKDD 2026 guidelines (see here). Accepted short papers will be included in the Springer Workshop proceedings of ECMLPKDD 2026.
2. Regular papers (14 pages + references) presenting novel original work not published elsewhere. Regular papers should be anonymized (double-blind review process) and formatted according to the ECMLPKDD 2026 guidelines (see here). Accepted regular papers will be included in the Springer Workshop proceedings of ECMLPKDD 2026. Double-submission of research papers is forbidden.
3. Non-archival submissions presenting relevant work recently accepted or currently under submission/review at other venues. The original work should be submitted (free format), enriched with a cover page reporting information on why the manuscript is of interest for the workshop. These submissions will not be included in the Springer Workshop proceedings..

We encourage all qualified candidates to submit a paper regardless of age, gender, sexual orientation, religion, country of origin, or ethnicity. All accepted papers will be presented as posters and linked to the workshop page. Submitting a paper to the workshop means that if the paper is accepted at least one author should present it at the workshop. The best contributions will be allocated a 15 min presentation during the workshop to maximize their visibility and impact. 

Key Dates: 

Paper Submission Deadline: 7 June 2026

Author Notification: 7 July 2026

Workshop Date: 7 or 11 September

How to Submit: TBD, Check out our website for updates.

Contacts: For any information, please contact hldm-w...@unitn.it

Best wishes

Andrea, Antonia, José, Andrea,  Anna, Katya