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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)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)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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      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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      • 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

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

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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)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)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
      • (2024)The AI-DEC: A Card-based Design Method for User-centered AI ExplanationsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661576(1010-1028)Online publication date: 1-Jul-2024
      • (2024)Co-design Accessible Public Robots: Insights from People with Mobility Disability, Robotic Practitioners and Their CollaborationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642875(1-20)Online publication date: 11-May-2024
      • (2024)From Fitting Participation to Forging Relationships: The Art of Participatory MLProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642775(1-9)Online publication date: 11-May-2024
      • (2024)The Illusion of Artificial InclusionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642703(1-12)Online publication date: 11-May-2024
      • (2024)Designing Gig Worker Sousveillance ToolsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642614(1-19)Online publication date: 11-May-2024
      • (2024)Mind The Gap: Designers and Standards on Algorithmic System Transparency for UsersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642531(1-16)Online publication date: 11-May-2024
      • (2024)Imagining inclusive technological futures through participatory board game designThe Design Journal10.1080/14606925.2024.230440927:2(291-311)Online publication date: 18-Jan-2024
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