/Apologize for unintended cross-mailing/ ========================================================= Special Issue on *STEAM teaching and learning: advances beyond the state of the art * 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 ---------------------------------------------------------------- **** Since 2007 also in Scopus **** **** *Since 2015 also* in *Emerging Sources Citation Index* and *Web of Science* *** *---------------------------------------------------------------- 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 ========================================================= *Guest Editors:* 
---------------------------------------------------------
-- • 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 =========================================== *Important dates:* ----------------------------------------------------------- • Deadline: *September 10th*, 2025 • Notification to the authors: October 30th, 2025 • Camera ready paper: January 10th, 2026 • Publication of the special issue: Spring 2026 (tentatively) =========================================== *Overview* ----------------------------------------------------------- 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. ----------------------------------------------------------- *Topics of Interest* ----------------------------------------------------------- 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. =========================================== /*Submission guidelines and procedure*/ ---------------------------------------------------------- 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/ ========================================================== *Authors' guidelines* ---------------------------------------------------------- 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 -----------------------------------------------------------------------------* *** * *