Final Call for XAIP @ ICAPS 2021

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Sarath Sreedharan

May 21, 2021, 2:59:34 PMMay 21

The world of Explainable AI is rapidly expanding in scope from classification tasks to more complex decision-making processes where automated algorithms play an outsized role. The International Workshop of Explainable AI Planning (XAIP) brings together the latest and best in the field of explainable planning and sequential decision-making. The workshop is collocated with ICAPS, the premier conference on automated planning and scheduling.

Invited speakers for this year includes Dr. Been Kim (Google) and Dr.
Steve Chien (JPL) !!!

Find out more:

Like last year, in addition to the core XAIP topics, we welcome submissions on user interfaces in XAIP, acknowledging the inseparable role of interfacing in explanations. We invite submissions of the following types relevant to the topics listed below.

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 XAIP challenges, outlining XAIP ideas, debating issues relevant to XAIP; up to 5 pages including references.

Topics Include but are not limited to


  • Representation, organization, and memory content used in explanation

  • The creation of such content during plan generation or understanding

  • Generation and evaluation of explanations

  • Contrastive explanations

  • The way in which explanations are communicated and personalized to humans (e.g., plan summaries, answers to questions)

  • The role of knowledge and learning in explainable planners

  • Human vs AI models in explanations

  • Links between explainable planning and other disciplines (e.g., social science, argumentation)

  • Use cases and applications of explainable planning

  • Ethical quandaries in explainable automated planning and scheduling

UX for XAIP 

  • User interfaces for explainable automated planning and scheduling

    • Plan and schedule visualization

    • Mixed initiative planning and scheduling

    • Emerging technology for human-planner interaction

    • Metrics for human readability or comprehensibility of plans and schedules

  • Explainable automated planning and scheduling for user interfaces

    • Representing and solving planning domains for user interface creation and design tasks

    • Plan, activity, and intent recognition of users’ interactions with interfaces

    • Developing user (mental) models with description languages and decision processes

Submissions can be made at Openreview at the link :

Important Dates:

Submission Deadline : May 31 UTC-12

Author Notification: June 30 UTC-12

Camera Ready Deadline: TBD UTC-12

ICAPS 2020 Workshops: August 2 - 6 (Exact date TBD)

Organizing Committee:

Tathagata Chakraborti | IBM Research AI

Rebecca Eifler | Saarland University

Joerg Hoffmann | Saarland University

Benjamin Krarup | King’s College London 

Alan Lindsay | Heriot-Watt University

Sarath Sreedharan | Arizona State University

Silvia Tulli | Técnico

Stylianos Loukas Vasileiou | Washington University
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