AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866911736741756928 |
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| author | Portegies, Tijs Willems, Laureanne Harbers, Maaike Sileno, Giovanni van Dierendonck, Roland Tasnim, Mayesha Willemsen, Lotte Ghebreab, Sennay |
| author_facet | Portegies, Tijs Willems, Laureanne Harbers, Maaike Sileno, Giovanni van Dierendonck, Roland Tasnim, Mayesha Willemsen, Lotte Ghebreab, Sennay |
| contents | Artificial intelligence (AI) can reproduce and amplify the structural inequities faced by minoritized communities. Participatory AI has been proposed as a response, but participation typically starts after problem definitions and success criteria have been set, leaving limited room for minoritized communities to reshape what an AI system is for. We propose AI From the Margins (AIM): a methodological stance that articulates the conditions under which lived experiences of minoritized communities can be elicited, centered, and carried forward to inform participatory AI design. AIM is not a fixed protocol; it articulates a set of preconditions that can be enacted through different techniques in different settings. We applied AIM in a Dutch healthcare context in eight sessions with 13 women and non-binary people of color and five municipal policy workers, namely through (1) narrative elicitation using the Biographic Narrative Interpretive Method (BNIM); (2) co-constructed rule-making; (3) participants' determination of whether, where, and how AI should be involved; and (4) translating lived experience into AI policy through dialogue with policymakers. In their reflections on the sessions, participants described the engagement as substantive and called for its continuation, demonstrating how preparatory orientation fundamentally grounded in lived experience shapes what participatory AI design is for. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2606_01171 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities Portegies, Tijs Willems, Laureanne Harbers, Maaike Sileno, Giovanni van Dierendonck, Roland Tasnim, Mayesha Willemsen, Lotte Ghebreab, Sennay Computers and Society Artificial Intelligence Artificial intelligence (AI) can reproduce and amplify the structural inequities faced by minoritized communities. Participatory AI has been proposed as a response, but participation typically starts after problem definitions and success criteria have been set, leaving limited room for minoritized communities to reshape what an AI system is for. We propose AI From the Margins (AIM): a methodological stance that articulates the conditions under which lived experiences of minoritized communities can be elicited, centered, and carried forward to inform participatory AI design. AIM is not a fixed protocol; it articulates a set of preconditions that can be enacted through different techniques in different settings. We applied AIM in a Dutch healthcare context in eight sessions with 13 women and non-binary people of color and five municipal policy workers, namely through (1) narrative elicitation using the Biographic Narrative Interpretive Method (BNIM); (2) co-constructed rule-making; (3) participants' determination of whether, where, and how AI should be involved; and (4) translating lived experience into AI policy through dialogue with policymakers. In their reflections on the sessions, participants described the engagement as substantive and called for its continuation, demonstrating how preparatory orientation fundamentally grounded in lived experience shapes what participatory AI design is for. |
| title | AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2606.01171 |