Overview

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 industry, academia and the public sector.

With the goal of exploring different perspectives of AI in PD to create a better understanding of the challenges and opportunities for co-designing future ethical, responsible, and explainable AI solutions, we propose a workshop intendend to strength the community of researchers and practitioners interested in participatory design and AI. In particular, the workshop seeks to inquire into the intersection of PD and AI including aspects of mutual learning and co-designing with and about AI.

As steps towards establishing a community of practice on AI in PD , we seek to arrange a workshop in which relevant topics can be explored. Core topics that will be addressed in the workshop include:

  • the use of AI tools in PD for design inspiration or co-ideation
  • PD activities to collaboratively envision digital futures with AI
  • mutual learning with and about AI

We consider the workshop to be mainly of interest for researchers and practitioners in HCI and PD, who facilitate participatory design or co-design activities as part of their work. To increase the possibilities for fruitful exchange of ideas, perspectives, and experiences, we aim to gather researchers and practitioners with various backgrounds and project experiences, who share a common interest in AI in participatory design activities.

Through the workshop we hope that participants can get hands-on experience and  reflective thinking regarding AI and that the workshop can act as an arena for forming future research collaboration and identification of possible joint publications relevant to the topic.

Participate

With the goal of exploring different perspectives of AI in PD to create a better understanding of the challenges and opportunities for co-designing future ethical, responsible, and explainable AI solutions, we propose a workshop intended to strengthen the community of researchers and practitioners interested in participatory design and AI. In particular, the workshop seeks to inquire into the intersection of PD and AI including aspects of mutual learning and co-designing with and about AI. We invite position papers on relevant topics including, but not limited to, the following:

  • 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.The length of the papers should be between two and four pages (including references) in the ACM standard single column format. All the accepted papers will be included in the workshop proceedings on the workshop website. In this way, the papers will be archived, and the authors can keep the copyright to themselves.The workshop is a step towards building a community of practice related to participatory design and AI and is intended as an arena for identifying future research collaboration, including possibilities for joint publications. The organizers will work for initiating a special issue in a suitable venue, where extended versions of the workshop submissions can be considered for publication.

    Participants are expected to attend the venue of the workshop physically (there will be no possibilities for remote/virtual attendance).

    Tentative Dates:
    Position Paper Submission: September 4th, 2024 
    Notification of acceptance: September 5th, 2024
    Early Bird Conference Registration: September 6th, 2024
    Participate in the workshop: October 13th, 2024
    Optional submission to a special issue: Spring 2025

    At least one author should register before the Early Bird registration deadline.

    For further information contact the workshop chair at susannks@hiof.no
    The papers can be sent as a pdf or doc file to susannks@hiof.no

Workshop papers

Susanne Koch Stigberg, Klaudia Carcani, Suhas Govind Joshi, and Tone Bratteteig. 2024. Participatory Design meets Artificial Intelligence: Co-imagining mutual learning of AI technologies and designing with AI tools. In Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction (NordiCHI ’24 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 56, 1–3. https://doi.org/10.1145/3677045.3685471

    • PAID: A Participatory Design Method to Co-Ideate AI-Based Solutions. Fathima Jubina Pathari, Østfold University College, Norway (download)
    • Two challenges to consider when designing with AI. Guri B. Verne, Department of Informatics, University of Oslo (download)
    • Becoming a visual witness in PD: The use of drawings by humans and AI tools. Julie Kordovsky, Aalborg University, Denmark; Torkil Clemmensen, Copenhagen Business School, Denmark (download)
    • Investigating Human-AI Configurations: Impacts on the Overall Facilitation and Prototyping Activities in Participatory Design. Christopher Hagen Tolloczko, Snorre Wenaas, and Suhas Govind Joshi, Department of Informatics, University of Oslo, Norway (download)
    • Co-Designing AI Literacy: Storytelling as an Accessible Tool for AI Education Targeting Children and Teenagers. Luise Arn, Institute of Informatics, University of Zurich, Zurich, Switzerland (download)
    • What can AI do for me? – Facilitating participatory concept development with patients and clinicians. Benjamin Maus, Malmö University, Sweden; Siddharth Nair, Umeå University, Sweden; Daniel van Dijk Jacobsen, Roskilde University, Denmark (download)

Program

Time Activity Comment
09:00 – 09:15 Introduction
09:15 – 10:00 Short paper presentations ~10 min per paper
10:00 Coffee and snacks
10:15 – 11:15 Group Work 1: PAID method Klaudia will facilitate the first group work.
11:30 – 12:30 Reflection Work 1: Designing for AI We will reflect both on the group work as well as on our previous experiences in designing for AI
12:30 Lunch
13:30 – 14:30 Group Work 2: Joshi will facilitate the second group work.
14:45 – 16:00 Reflection Work 2: Designing with AI coffee break at 15 included

We will reflect both on the group work as well as on our previous experiences in designing with AI

16:15 – 17:00 Future Plans and concluding remarks Tone will present future plans including co-writing a paper based on the reflections from the workshop.

Organizers

Susanne Stigberg

Susanne Stigberg

Susanne Stigberg is an Associate Professor at the Department of Computer Science and Communication. She belongs to the research group Democratizing design practices in the digital society. Stigberg holds a PhD in Computer Science from TU Wien. Her academic interest lies in the field of interaction design and making. Using a human-centered perspective and a participatory methodology she explores how we can interact with technology beyond the desktop paradigm. Furthermore, she is involved in several interdisciplinary projects that create and study technology-based learning experiences. As a computer scientist and interaction designer, she takes a cautious but optimistic stance towards technology in a process that tightly couples research and design.

Klaudia Carcani

Klaudia Carcani

Klaudia Carcani is an Associate Professor at the Department of Computer Science and Communication. She belongs to the research group Democratizing design practices in the digital society. Carcani holds a PhD in Informatics from the University of Oslo. Her academic interest lies in the field of co-design for cooperation, bridging the fields of Participatory Design and Computer Supported Cooperative Work. With an interest in the empowerment of marginalized user groups in a cooperative social context, she is concerned with the design of safe, ethical, and responsible AI-based solutions that can empower humans and contribute to more inclusion and development. She is involved in research projects exploring the tools and techniques to enable mutual learning of AI that will contribute to envisioning future AI solutions.

Suhas Govind Joshi

Suhas Govind Joshi is an Associate Professor in the Section for Digitalization at the Department of Informatics at the University of Oslo, and currently serving as deputy head of the department. His research has been focused on applying Participatory Design to facilitate inclusive development of welfare technologies for older adults. The main emphasis has been on sustaining participants in long-term collaboration at care facilities. He is currently leading a project on the use of generative AI to study how we can expand the space for participation in ongoing PD research efforts involving older adults as co-designers of welfare technologies.

Tone Bratteteig

Tone Bratteteig

Tone Bratteteig is Professor at the Department of informatics, University of Oslo, where she leads the research group Design of information systems. She has a long history with Participatory Design and is particularly interested in mutual learning and how such two-way learning processes can result in novel designs. Current AI / Machine Learning technologies represent a shift in what kind of work tasks the technology can perform, hence it becomes even more important to explore its possibilities and to co-design with the future users how their future sociotechnical environment can become.