[DEADLINE EXTENDED]: The 2nd Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM'24)

[Andrea Passerini]

Dear all,

Due to numerous requests, the submission deadline for the Second Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM) has been extended to:

*** June 22nd, 2024 ***

We accept multiple formats, including short papers (6 pages max, plus references/appendix), regular papers (14 pages max, plus references/appendix), and non-archival submissions (free format, with cover page). Please find the full call for papers enclosed for further details and submission instructions.

Best wishes

Andrea, Burcu, Anna, Giovanna, Novi, Artur

CALL FOR PAPERS 

The 2nd Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM’24) 

https://sml.disi.unitn.it/hldm24.html

ECML-PKDD 2024

September 9th, 2024

Following the success of the first edition, the HLDM 2024 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 are still finalising the list of invited speakers, but we already have the following confirmed invited speakers:

• Prof. Nick Chater, Full Professor of Behavioural Science at the Warwick Business School, co-founder of Decision Technology Ltd and author of the Mind is Flat. His research focuses on the cognitive and social foundations of rationality, with applications to business and public policy.
• Prof. Zeynep Akata, Liesel Beckmann Distinguished professor of Computer Science at Technical University of Munich and the director of the Institute for Explainable Machine Learning at Helmholtz Munich. Her research expertise includes multimodal learning and explainable AI with large language models.
• Prof. Nuria Oliver, co-founder and vice-president of ELLIS, Chief Data Scientist at Data-Pop Alliance and Chief Scientific Advisor at the Vodafone Institute. Her research work focuses on the computational modelling of human behaviour using Artificial Intelligence techniques, human-computer interaction, mobile computing and Big Data analysis.
• Prof. Catholijn M. Jonker, Full Professor of Interactive Intelligence at the Delft University of Technology. She is an expert on negotiation, teamwork, and the dynamics of individual agents and organizations, and she works with an interdisciplinary team to create synergy between humans and technology.

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
• cognitive aspects in hybrid decision making
• hybrid decision-making interfaces
• hybrid decision-making strategies
• hybrid decision-making applications
• 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 discussion on the most promising research directions and the most relevant challenges revolving around hybrid human-machine learning and decision making. We thus 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 2024 guidelines (see link below). Accepted short papers will be included in the Springer Workshop proceedings of ECMLPKDD 2024.
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 2024 guidelines (see link below). Accepted regular papers will be included in the Springer Workshop proceedings of ECMLPKDD 2024. 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: 22 June 2024 [EXTENDED]
• Paper Author Notification: 15 July 2024
• Workshop date: 9 September 2024 

How to submit: 

Go here and create a new submission for the “HLDM: Towards Hybrid Human-Machine Learning and Decision Making” track.

Contacts:

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