AI for Abolition? A Participatory Design Approach

Fuente: arXiv
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Main Authors: Wang, Carolyn, Epps, Avriel, Ferrari, Taylor, Ames, Ra
Format: Preprint
Published: 2025
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author Wang, Carolyn
Epps, Avriel
Ferrari, Taylor
Ames, Ra
author_facet Wang, Carolyn
Epps, Avriel
Ferrari, Taylor
Ames, Ra
contents The abolitionist community faces challenges from both the carceral state and oppressive technologies which, by empowering the ruling class who have the resources to develop artificial intelligence (AI), serve to entrench societal inequities even more deeply. This paper presents a case study in participatory design with transformative and restorative justice practitioners with the goal of designing an AI system to support their work. By co-designing an evaluation framework for large language models with the practitioners, we hope to push back against the exclusionary status quo of AI and extent AI's potentiality to a historically marginalized community.
format Preprint
id arxiv_https___arxiv_org_abs_2510_07156
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AI for Abolition? A Participatory Design Approach
Wang, Carolyn
Epps, Avriel
Ferrari, Taylor
Ames, Ra
Human-Computer Interaction
The abolitionist community faces challenges from both the carceral state and oppressive technologies which, by empowering the ruling class who have the resources to develop artificial intelligence (AI), serve to entrench societal inequities even more deeply. This paper presents a case study in participatory design with transformative and restorative justice practitioners with the goal of designing an AI system to support their work. By co-designing an evaluation framework for large language models with the practitioners, we hope to push back against the exclusionary status quo of AI and extent AI's potentiality to a historically marginalized community.
title AI for Abolition? A Participatory Design Approach
topic Human-Computer Interaction
url https://arxiv.org/abs/2510.07156