/Apologize for unintended cross-mailing/
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D*EADLINE EXTENSION -> October 8th 2025* (new hard deadline)
Special Issue on
*Participatory Design meets Artificial Intelligence: Co-imagining mutual 
learning of AI technologies and designing with AI tools*
Call for Papers -> link 
<https://ixdea.org/participatory-design-meets-artificial-intelligence/>
to be published at the
/*Interaction Design and Architecture(s) Journal (IxD&A)*/
(ISSN 1826-9745, eISSN 2283-2998)
https://ixdea.org/
https://doi.org/10.55612/s-5002-000
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IxD&A implements the Gold Open Access (OA) road to its contents
with no charge to the authors (submission & paper processing)
Help us in improving the quality of the editorial process and of the 
journal, please donate: -> link
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*Guest Editors:*
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• Susanne Stigberg, Østfold University College, Norway
• Klaudia Carcani, Østfold University College, Norway
• Suhas Govind Joshi, University of Oslo, Norway
• Tone Bratteteig, University of Oslo, Norway
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*Important dates:*
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• Extended Deadline: *October 8th*, 2025
• Notification to the authors: December 20th, 2025
• Camera ready paper: January 15th, 2026
• Publication of the special issue: Spring 2026 (tentatively)
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*Overview*
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Does Artificial Intelligence (AI) make Participatory Design (PD) 
obsolete? AI systems are deployed rapidly across domains of considerable 
social significance—in healthcare, education, employment, criminal 
justice, and many others—without appropriate safeguards or 
accountability structures in place. At the same time, there is a growing 
interest in using participatory approaches for the design, development, 
and evaluation of AI systems across industries, academia and the public 
sector. Researchers have started to explore different aspects of AI 
tools for co-creation in PD and different co-creation processes for the 
design of AI-based solutions. In this special issue, we aim to collect 
and share explorations with and about AI in PD to create a better 
understanding of the challenges and opportunities for co-designing 
future ethical, responsible, and explainable AI solutions.
Early PD projects were motivated by the introduction of computer 
technologies into industrial workplaces, where they threatened to 
impoverish or take over jobs. Just like computers were a threat to work 
and workers in the 1970s and 80s, AI seems to be a threat to workers—and 
societies—today. This is an argument for using a PD approach aimed at 
understanding the technology and its potential for changing workplaces 
and work practices, as well as to open up for workers to have a say in 
choices concerning the technology during its design and use. We see two 
different combinations of AI and PD: a) the use of AI tools in PD for 
design inspiration or co-ideation, and b) using PD activities to 
collaboratively envision digital futures with AI. Can PD help to 
understand AI and its potential for changing our lives? Bratteteig and 
Verne argue that PD is well suited for users and designers working 
together to negotiate and mitigate the challenges AI poses to our 
digitalized societies. However, they argue that PD researchers need to 
navigate through three challenges: understanding AI technology, 
evaluating AI solutions, and distinguishing between “normal use” and 
training of AI services. Voinov and Bousquet propose participatory 
modeling as a purposeful learning process for action that engages the 
implicit and explicit knowledge of stakeholders to create formalized and 
shared representation(s) of reality.
As a step towards broadening the discussion about AI and PD, our 
proposal seeks to extend a warm invitation to researchers and 
professionals worldwide who are exploring the intersection of PD and AI, 
including both aspects of mutual learning and co-designing. This special 
issue is also an extension of a workshop that took place at NORDICHI 
2024. The purpose of this special issue, therefore, in addition to 
collecting contributions from those who participated in the workshop, is 
to broaden the discussion to include scholars and practitioners who are 
engaged in the discourse about AI and PD and who would like to 
contribute with and share their own visions.
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*Topics of Interest*
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Topics of interest for this special issue  include, but are not limited to:
• Perspectives on co-designing future ethical, responsible, and 
explainable AI solutions.
• Learning practices and strategies for understanding AI.
• Challenges facing PD for designing AI solutions
• Lessons learned from facilitated participatory activities AI tools.
• Combinations of the above.
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/*Submission guidelines and procedure*/
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All submissions (abstracts and later final manuscripts) must be original 
and may not be under review by another publication.
The manuscripts should be submitted either in .doc or in .rtf format.
All papers will be blindly peer-reviewed by at least two reviewers.
Authors are invited to submit 8-30 pages paper (including authors' 
information, abstract, all tables, figures, references, etc.).
The paper should be written according to the IxD&A authors' guidelines
->https://ixdea.org/authors-guidelines/
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*Authors' guidelines*
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Paper submission page:
-> link <https://ojs.ixdea.org/>
(Please upload all submissions using the Submission page. 
When submitting the paper, please, choose the section:
"SI: Participatory Design meets Artificial Intelligence")
More information on the submission procedure and on the characteristics
of the paper format can be found on the website of the IxD&A Journal
where information on the copyright policy and responsibility of authors,
publication ethics and malpractice are published.
For scientific advice and queries, please contact the IxD&A scientific 
editor marking the subject as:
/SI: //Participatory Design meets Artificial Intelligence/
• susanne [dot] k [dot] stigberg [at] hiof [dot] no
• klaudia [dot] carcani [at] hiof [dot] no
• joshi [at] ifi [dot] uio [dot] no
• tone [at] ifi [dot] uio [dot] no
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