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Participatory Design of AI Systems: Opportunities and Challenges Across Diverse Users, Relationships, and Application Domains

Published: 28 April 2022 Publication History

Abstract

Participatory design (PD) for Artificially Intelligent (AI) systems has gained in popularity in recent years across multiple application domains, both within the private and public sectors. PD methods broadly enable stakeholders of diverse backgrounds to inform new use cases for AI and the design of AI-based technologies that directly impact people's lives. Such participation can be vital for mitigating adverse implications of AI on society that are becoming increasingly apparent and pursuing more positive impact, especially to vulnerable populations. This panel brings together researchers who have, or are, conducting participatory design of AI systems across diverse subject areas. The goal of the panel is to elucidate similarities and differences, as well as successes and challenges, in how PD methods can be applied to Artificially Intelligent systems in practical and meaningful ways. The panel serves as an opportunity for the HCI research community to collectively reflect on opportunities for PD of AI to facilitate collaboration amongst stakeholders, as well as persistent challenges to participatory AI design.

References

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Cited By

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  • (2024)Ethics of the Use of Social Media as Training Data for Artificial Intelligence Models used for Digital Phenotyping: Commentary (Preprint)JMIR Formative Research10.2196/59794Online publication date: 22-Apr-2024
  • (2024)Stakeholder Involvement for Responsible AI Development: A Process FrameworkProceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization10.1145/3689904.3694698(1-14)Online publication date: 29-Oct-2024
  • (2024)Beyond Swipes and Scores: Investigating Practices, Challenges and User-Centered Values in Online Dating AlgorithmsProceedings of the ACM on Human-Computer Interaction10.1145/36870258:CSCW2(1-30)Online publication date: 8-Nov-2024
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      Published In

      cover image ACM Conferences
      CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
      April 2022
      3066 pages
      ISBN:9781450391566
      DOI:10.1145/3491101
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 28 April 2022

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      Author Tags

      1. AI
      2. PD
      3. Participatory design
      4. artificial intelligence
      5. diversity

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      • Panel
      • Research
      • Refereed limited

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      CHI '22
      Sponsor:
      CHI '22: CHI Conference on Human Factors in Computing Systems
      April 29 - May 5, 2022
      LA, New Orleans, USA

      Acceptance Rates

      Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

      Upcoming Conference

      CHI '25
      CHI Conference on Human Factors in Computing Systems
      April 26 - May 1, 2025
      Yokohama , Japan

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      Cited By

      View all
      • (2024)Ethics of the Use of Social Media as Training Data for Artificial Intelligence Models used for Digital Phenotyping: Commentary (Preprint)JMIR Formative Research10.2196/59794Online publication date: 22-Apr-2024
      • (2024)Stakeholder Involvement for Responsible AI Development: A Process FrameworkProceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization10.1145/3689904.3694698(1-14)Online publication date: 29-Oct-2024
      • (2024)Beyond Swipes and Scores: Investigating Practices, Challenges and User-Centered Values in Online Dating AlgorithmsProceedings of the ACM on Human-Computer Interaction10.1145/36870258:CSCW2(1-30)Online publication date: 8-Nov-2024
      • (2024)"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good PartnershipsProceedings of the ACM on Human-Computer Interaction10.1145/36870098:CSCW2(1-28)Online publication date: 8-Nov-2024
      • (2024)Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AIProceedings of the ACM on Human-Computer Interaction10.1145/36869628:CSCW2(1-44)Online publication date: 8-Nov-2024
      • (2024)"Just Like, Risking Your Life Here": Participatory Design of User Interactions with Risk Detection AI to Prevent Online-to-Offline Harm Through Dating AppsProceedings of the ACM on Human-Computer Interaction10.1145/36869068:CSCW2(1-41)Online publication date: 8-Nov-2024
      • (2024)From Singularity to PlurAIverse: Expanding the AI Design ParadigmProceedings of the Halfway to the Future Symposium10.1145/3686169.3686207(1-3)Online publication date: 21-Oct-2024
      • (2024)Investigating How Generative AI Affects Decision-Making in Participatory Design: Shifting the space to make design choicesProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685384(1-14)Online publication date: 13-Oct-2024
      • (2024)Practicing Inclusivity in AI: Stakeholder Engagement Policy in ActionCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681836(748-751)Online publication date: 11-Nov-2024
      • (2024)Exploring the Supportive Role of Artificial Intelligence in Participatory Design: A Systematic ReviewProceedings of the Participatory Design Conference 2024: Exploratory Papers and Workshops - Volume 210.1145/3661455.3669868(37-44)Online publication date: 11-Aug-2024
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