CFP Reminder: Hybrid Human-Machine Learning and Decision Making Workshop @ ECMLPKDD
Andrea Passerini
Dear all, I would like to remind you that the deadline for submitting contributions to the HLDM workshop is on ** June 12th, 2023 **. We accept multiple formats, both archival and non-archival, including interesting already published/under revision works. The CFP is enclosed, please have a look at our final list of invited speakers!!
CALL FOR PAPERS
The 1st Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM’23)
https://sml.disi.unitn.it/hldm23.html
ECML-PKDD 2023
22 September 2023
The HLDM 2023 workshop aims at gathering together a diverse set of researchers addressing the different aspects that characterize 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 behavior, 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, a panel on challenges in human-machine learning and decision making, and a final discussion. Confirmed invited speakers include:
Prof. Marco Zenati, director of the Medical Robotics & Computer-Assisted Surgery Lab at Harvard University, who pioneered the introduction of AI technology in surgical operating rooms.
Prof. Manuel Gomez Rodriguez, tenured faculty at the Max Planck Institute for Software Systems in Kaiserslautern, Germany, who is conducting cutting-edge research on improving decision-making through machine learning.
Prof. Ece Kamar, Partner Research Area Manager at Microsoft Research, who oversees the research area on human-centered AI, with particular emphasis on responsible AI, human-AI collaboration, and mental well-being.
Prof. Sylvie Delacroix, professor in Law and Ethics at the Birmingham Law School, who combines research on philosophy, ethics, law and regulation to address fundamental questions on acceptance and use of technology for individuals and society.
Prof. Alessandro Bozzon, professor of Human-Centered Artificial Intelligence and Head of the Department of Sustainable Design Engineering at the Delft University of Technology. He is an expert on human-computer interaction, human computation, user modeling, and machine learning.
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
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:
Extended abstracts (4 pages + references) presenting work-in-progress, position papers, or open problems with clear and concise formulations of current challenges. Extended abstracts should be anonymized (double-blind review process) and formatted according to the ECMLPKDD 2023 guidelines (see link below). Accepted extended abstracts (no less than four pages overall) will be included in the Workshop proceedings of ECMLPKDD 2023, unless authors request otherwise.
Research papers (14 pages + references) presenting novel original work not published elsewhere. Research papers should be anonymized (double-blind review process) and formatted according to the ECMLPKDD 2023 guidelines (see link below). Accepted research papers will be included in the Workshop proceedings of ECMLPKDD 2023 unless the authors explicitly check the opt-out option upon submission. Double-submission of research papers is forbidden unless the opt-out option is checked. In this latter case, the submission is considered non-archival.
Resubmission of already accepted papers. The camera-ready version of the paper should be submitted (including author information), enriched with a cover page reporting information on where the paper has been accepted, and why it is of interest for the workshop. These submissions are non-archival.
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: 12 June 2023
Paper Author Notification: 12 July 2023
Workshop date: 22 September 2023
How to submit:
Go here and create a new submission for the “Towards Hybrid Human-Machine Learning and Decision Making (HLDM)” workshop.
Contacts:
For any information please contact hldm...@unitn.it
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