As artificial intelligence (AI) is increasingly being adopted into application solutions, the challenge of supporting effective interactions with humans is becoming more apparent. Partly this is to support integrated working styles, in which humans and intelligent systems cooperate in problem-solving, but also it is a necessary step in the process of building and calibrating trust as humans migrate greater competence and responsibility to such systems. The International Workshop on Human-Aware and Explainable Planning (HAXP), formerly known as the Explainable AI Planning (XAIP) workshop, brings together the latest and best in human-AI interaction and explainability, in the context of planning, scheduling, RL and other forms of sequential decision-making process. The workshop is collocated with ICAPS, the premier conference on automated planning and scheduling. Learn more: haxp.org.
Workshop Topics
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The workshop includes - but is not limited to - the following topics:
Human-aware planning, scheduling, and execution
Human monitoring, plan & goal recognition, and behavior prediction
Mixed-initiative planning and scheduling systems
Learning methods for planning in the presence of humans
Explanations of behavior in sequential decision-making/decision-support
Explanation of scheduling/allocation decisions to human stakeholders
Improving interpretability and explainability of AI planning/scheduling systems
Generating predictable and interpretable behavior
Methods for reward, goal, preference, or constraint specification for reinforcement learning agents
Creating interpretable and adaptive user interfaces for planning/scheduling systems
Proactive assistance and decision-support in human-AI collaborative scenarios
Cognitive modeling, social interaction, and theory of mind
Safety, ethics, fairness, transparency and responsible behavior generation in the context of planning/scheduling systems
Representation and acquisition of human behavioral models
Theories and applications of human behavior models
Trust, communication, and collaboration in human-AI teams
Benchmarking planning/scheduling domains for human-AI interaction
Important Dates
Paper submission deadline: March 24 UTC-12
Notification of acceptance: April 30 UTC-12
Camera-ready paper submissions: TBD
Workshop date: TBD (July 8-13)
Submission Instructions
We invite submissions of the following types:
Full technical papers making an original contribution; up to 9 pages including references;
Short technical papers making an original contribution; up to 5 pages including references;
Position papers proposing HAXP challenges, outlining HAXP ideas, debating issues relevant to HAXP; up to 5 pages including references.
Submissions will be hosted on OpenReview:
https://openreview.net/group?id=icaps-conference.org/ICAPS/2023/Workshop/HAXP
Papers must be prepared according to the instructions for ICAPS 2023 (in AAAI format) available at:
https://www.aaai.org/Publications/Templates/AuthorKit23.zip.
Authors who are considering submitting to the workshop papers rejected from the main conference, please ensure you do your utmost to address the comments given by ICAPS reviewers. Please do not submit papers that are already accepted for the main conference to the workshop.
Every submission will be reviewed by members of the program committee according to the usual criteria such as relevance to the workshop, the significance of the contribution, and technical quality. Authors can select if they want their submissions to be single-blind or double-blind.
The workshop is meant to be an open and inclusive forum, and we encourage papers that report on work in progress or that do not fit the mold of a typical conference paper.
At least one author of each accepted paper must attend the workshop in order to present the paper. There will be no separate registration required.
We are excited that ICAPS is going to be a physical conference this year. However, we understand that not everyone will be able to travel to Prague, due to factors such as personal health or travel restrictions. Although not guaranteed yet, there might be limited support for remote presentations for those who cannot attend the in-person event.
Organizing Committee:
Rebecca Eifler | Saarland University
Benjamin Krarup | King’s College London
Alan Lindsay | Heriot-Watt University
Lindsay Sanneman | MIT
Sarath Sreedharan | Colorado State University
Silvia Tulli | Técnico
Stylianos Loukas Vasileiou | Washington University in St. Louis
Steering Committee:
Jeremy Frank - NASA
Claudia Goldman - General Motors
Jörg Hoffmann - Saarland University
Subbarao Kambhampati - Arizona State University
David Smith - PS Research
William Yeoh - Washington University in St. Louis.