PARTIALJUSTICE – Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design

PARTIALJUSTICE develops the novel approach of participatory algorithmic justice. Participatory algorithmic justice defines a concept and standards of practice for collaborative research to better understand who and what AI harms, but also how these harms should be redressed. The project investigates how economic, cultural, and political harms from AI are experienced by structurally marginalized groups through multi-sited, intersectional ethnographic fieldwork. This fieldwork informs participatory design workshops to develop specific interventions into problems identified by research collaborators. This research is brought to life through an innovative combination of graphic storytelling and a public-facing mapping platform. Participatory algorithmic justice brings the voices, priorities, and concerns of those affected by AI to the forefront of debates over what kinds of AI people want to live with. Tackling a critical problem of global technology justice, this project is a crucial intervention for communities, researchers, and developers to redress AI harms.

Dr. Amelia Fiske
Tel.: 089 - 4140 4041
Mail: a.fiske@tum.de
Institut für Geschichte und Ethik der Medizin, Ismaninger STr. 22, 81675 München

Projektleitung:
Dr. Amelia Fiske

Zeitraum:
01.09.2025 - 31.08.2030

Projekttyp:
Drittmittelprojekt

Fördergeber:
EFG

de_DEDE