Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
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Abstract (arXiv)
Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience. PAI has a greater promise than that of providing useful input to developers, it can contribute to the process of democratizing the design of technology, setting the focus on what should be designed. However, in the process of PAI there existing institutional power dynamics that hinder the realization of expansive dreams and aspirations of the relevant stakeholders. In this work we propose co-design principals for AI that address institutional power dynamics focusing on Participatory AI with youth.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 15 references that are in the map. First posted on arXiv 22 Nov 2022.
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4 of 15 references.
References · 4
- 2022Power to the People? Opportunities and Challenges for Participatory AIcited by 137
- 2020Participation is not a Design Fix for Machine Learningcited by 110
- 2020Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamicscited by 31
- 2021Citizen Participation and Machine Learning for a Better Democracycited by 14
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