Participatory AI Justice in HCI: A Scoping Review

Read full text
Authors: Maria Luce Lupetti, Cristina Zaga, Nazlı Cila
Cited by: 1
References: 89

Abstract

Participatory design is increasingly used to address the negative social impacts of artificial intelligence (AI), aiming for more inclusive and equitable innovation. However, it can inadvertently reproduce injustice and reinforce power imbalances, even with good intentions. While the HCI community is critical of these issues, the existing knowledge is often fragmented, making it challenging for AI researchers and policymakers to navigate. This paper presents a scoping review of participatory AI research in HCI focused on justice. We detail how participatory AI unfolds in practice and offers methodological insights on the roles of researchers and partnership with communities, the practical and contextual challenges, the role of reflexivity and situatedness and the essential but not so central role of artefacts in participatory processes. We conclude with recommendations for engaging in participatory design to promote justice in AI systems.

Fields of Study & Subjects

Ethics and Social Impacts of AI Innovative Human-Technology Interaction Data Visualization and Analytics

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–17
Publication date
13 April 2026
Language
EN