posted by organizer: stefanoteso || 2161 views || tracked by 3 users: [display]

IMLW 2022 : The AAAI-22 Workshop on Interactive Machine Learning


When Feb 28, 2022 - Mar 1, 2022
Where Vancouver, Canada
Submission Deadline Nov 12, 2021
Notification Due Dec 3, 2021
Categories    machine learning   human-in-the-loop   interpretability   human-computer interaction

Call For Papers

The AAAI-22 Workshop on Interactive Machine Learning - Call for Papers
Co-located with AAAI-22 ( - Vancouver, Canada

FORMAT: up to 6 pages + references / 2 pages + references.
DEADLINE: November 12th

For any information: Elizabeth Daly (elizabeth.daly /at/

Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. A challenge is how to integrate people into the learning loop in a way that is transparent, efficient, and beneficial to the human-AI team as a whole, supporting different requirements and users with different levels of expertise. Advances in IML promise to make AIs more accessible and controllable, more compatible with the values of their human partners and more trustworthy. Such advances would enrich the range of applicability of semi-autonomous systems to real-world tasks, most of which involve cooperation with one or more human partners.

This workshop aims to bring together researchers from industry and academia and from different disciplines in AI and surrounding areas to explore challenges and innovations in IML.


The workshop is featured with invited talks given by three distinguished speakers:
Andreas Holzinger, Medical University Graz
Cynthia Rudin, Duke University
Simone Stumpf, University of Glasgow


We invite submissions on a range of topics, including but not limited to:
Strategies for traditional settings: active and imitation learning, interactive recommendation;
Interactive strategies for non-standard settings: online learning; hierarchical and constrained prediction; generative models; feature and concept acquisition; data wrangling and cleaning;
Interactive multi-objective optimization algorithms and techniques;
Novel mechanisms for eliciting and consuming user feedback;
Understandable interaction, especially in the context of uncovering and debugging undesirable behavior;
HCI and visualization challenges in supporting user interaction;
Analysis of human factors and cognition;
Personalisation and user modelling;
Human-initiated and mixed-initiative interaction protocols;
Design, testing and assessment of interactive machine learning systems;
Studies on risks of introducing interaction mechanisms such as information leakage and bias;
Business use cases and novel applications of interactive machine learning.


Long papers (up to 6 pages + references) and extended abstracts (2 pages + references) are welcome, including resubmissions of already accepted papers, work-in-progress, and position papers. The review process will be *double* blind. All submissions should be formatted using the AAAI-22 Author Kit, linked to below.


Due date: Nov 12th
Notification: Dec 3rd
Workshop: Feb 28 - Mar 1
Submission link:
Author Kit:


Elizabeth Daly (Workshop Chair), IBM Research, Dublin
Öznur Alkan, IBM Research, Dublin
Stefano Teso, University of Trento
Wolfgang Stammer, TU Darmstadt

Related Resources

AAAI 2023   The 37th AAAI Conference on Artificial Intelligence
ICDM 2023   International Conference on Data Mining
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
JCRAI 2023-Ei Compendex & Scopus 2023   2023 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2023)
MLDM 2024   20th International Conference on Machine Learning and Data Mining
FAIML 2024   2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2023)
IEEE Xplore-Ei/Scopus-CCCAI 2023   2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI 2023) -EI Compendex
ICDM 2024   24th Industrial Conference on Data Mining
MLDM 2024   20th International Conference on Machine Learning and Data Mining
EAIH 2024   Explainable AI for Health