[GECCO CFP] ACM GECCO Workshop CfP [EXTENDED Deadline: April 17, 2023]: ECXAI @GECCO 2023

[Giovanni Iacca]

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(apologies for cross-posting)

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2nd Workshop on Evolutionary Computing and Explainable AI (ECXAI)

Part of the ACM Conference on Genetic and Evolutionary Computation
(GECCO 2023) July 15-19, 2023

Note that GECCO 2023 will be a hybrid conference; onsite in Lisbon,
Portugal, and online


**Submission deadline: April 17, 2023**
https://ecxai.github.io/ecxai/workshop-2023

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CALL FOR PAPERS

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Explainable artificial intelligence has gained significant traction in
the machine learning community in recent years because of the need to
generate “explanations” of how these typically black-box tools operate
that are accessible to a wide range of users. Nature-inspired
optimisation techniques are also often black box in nature, and the
attention of the explainability community has begun to consider
explaining their operation too. Many of the processes that drive
nature-inspired optimisers are stochastic and complex, presenting a
barrier to understanding how solutions to a given optimisation problem
have been generated.

Explainable optimisation can address some of the questions that arise
during the use of an optimiser: Is the system biased? Has the problem
been formulated correctly? Is the solution trustworthy and fair? By
providing mechanisms that enable a decision maker to interrogate an
optimiser and answer these questions trust is built with the system. On
the other hand, many approaches to XAI in machine learning are based on
search algorithms that interrogate or refine the model to be explained,
and have the potential to draw on the expertise of the EC community.
Furthermore, many of the broader questions (such as what kinds of
explanations are most appealing or useful to end users) are faced by XAI
researchers in general.

>From an application perspective, important questions have arisen, for
which XAI may be crucial: Is the system biased? Has the problem been
formulated correctly? Is the solution trustworthy and fair? The goal of
XAI and related research is to develop methods to interrogate AI
processes with the aim of answering these questions. This can support
decision makers while also building trust in AI decision-support through
more readily understandable explanations.

Following the success of the first workshop hosted at GECCO 2022, we
seek contributions on a range of topics related to this theme, including
but not limited to:

  - Interpretability vs explainability in EC and their quantification
  - Landscape analysis and XAI
  - Contributions of EC to XAI in general
  - Use of EC to generate explainable/interpretable models
  - XAI in real-world applications of EC
  - Possible interplay between XAI and EC theory
  - Applications of existing XAI methods to EC
  - Novel XAI methods for EC
  - Legal and ethical considerations
  - Case studies / applications of EC & XAI technologies

Papers will be double blind reviewed by members of our technical
programme committee.Authors can submit short contributions including
position papers of up to 4 pages and regular contributions of up to 8
pages following in each category the GECCO paper formatting guidelines.
Software demonstrations will also be welcome.

For more detailed information, see the ECXAI workshop website:
https://ecxai.github.io/ecxai/workshop-2023

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IMPORTANT DATES

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**Submission deadline: 17 April 2023**
Notification: 3 May 2023
Camera-ready: 10 May 2023
Presenter mandatory registration: 10 May 2023
Workshop: TBC - during GECCO which runs 15-19 July 2023

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PAPER SUBMISSION

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Workshop papers must be submitted using the GECCO submission system
(https://ssl.linklings.net/conferences/gecco/). After login, the authors
need to select the "Workshop Paper" submission form. In the form, the
authors must select the workshop they are submitting to. To see a sample
of the "Workshop Paper" submission form, go to GECCO's submission system
and select "Sample Submission Forms". Submitted papers must not exceed 8
pages (excluding references) and are required to be in compliance with
the GECCO 2023 Papers Submission Instructions
(https://gecco-2023.sigevo.org/Paper-Submission-Instructions). It is
recommended to use the same templates as the papers submitted to the
main tracks.  Each paper submitted to this workshop will be rigorously
reviewed in a double-blind review process. In other words, authors
should not know who the reviewers of their work are and reviewers should
not know who the authors are. To this end, the following information is
very important: Submitted papers should be ANONYMIZED. This means that
they should NOT contain any element that may reveal the identity of
their authors. This includes author names, affiliations, and
acknowledgments. Moreover, any references to any of the author's own
work should be made as if the work belonged to someone else. All
accepted papers will be presented at the ECXAI workshop and appear in
the GECCO 2023 Conference Companion Proceedings. By submitting a paper,
the author(s) agree that, if their paper is accepted, they will:

- Submit a final, revised, camera-ready version to the publisher on or
before the camera-ready deadline.

- Register at least one author by the author registration deadline to
participate in the conference.

- Provide a pre-recorded version of the talk and be present during its
online transmission (which will occur during the days of the conference)
to answer questions from the (online) audience.

As a published ACM author, you and your co-authors are subject to all
ACM Publications Policies (https://www.acm.org/publications/policies/toc),

including ACM's new Publications Policy on Research Involving Human
Participants and Subjects
(
https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects
).

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WORKSHOP CHAIRS (in alphabetical order)

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Jaume Bacardit, Newcastle University, UK, jaume.bacardit at newcastle.ac.uk
Alexander Brownlee, University of Stirling, UK,
alexander.brownlee at stir.ac.uk
Stefano Cagnoni, University of Parma, Italy, cagnoni at ce.unipr.it
Giovanni Iacca, University of Trento, Italy, giovanni.iacca at unitn.it
John McCall, Robert Gordon University, UK, j.mccall at rgu.ac.uk
David Walker, University of Plymouth, UK, david.walker at plymouth.ac.uk

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