*** Apologies for cross posting ***

The AAAI-22 Workshop on Interactive Machine Learning - Call for Papers

Co-located with AAAI-22 (https://aaai.org/Conferences/AAAI-22/) -
Vancouver, Canada

FORMAT: up to 6 pages + references / 2 pages + references.

DEADLINE: November 12th

Web: https://sites.google.com/view/aaai22-imlw/home

Submission: https://easychair.org/my/conference?conf=imlaaai22

For any information: Elizabeth Daly (elizabeth.daly /at/ ie.ibm.com)

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.


* KEYNOTE SPEAKERS *

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


* TOPICS *

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.



* SUBMISSIONS *

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.


* IMPORTANT DATES *

Due date: Nov 12th

Notification: Dec 3rd

Workshop: Feb 28 - Mar 1

Submission link: <https://easychair.org/conferences/?conf=imlaaai22>
https://easychair.org/my/conference?conf=imlaaai22

Author Kit: https://www.aaai.org/Publications/Templates/AuthorKit22.zip


* ORGANIZATION *

Elizabeth  Daly (Workshop Chair), IBM Research, Dublin

Öznur Alkan, IBM Research, Dublin

Stefano  Teso, University of Trento

Wolfgang Stammer, TU Darmstadt
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