SubsidieMeestersParticipatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design
This project develops participatory algorithmic justice to address AI harms by centering marginalized voices in research and design interventions for equitable technology solutions.
Projectdetails
Introduction
AI comes with great promises, but more critically, it comes with demonstrated harms, from racial and gender bias to discrimination, wrongful arrests, defamation, surveillance, or the extractive labor and practices required for its creation. I contend that the most concerning aspect of AI is the exacerbation of existing structural inequalities and the creation of new ones.
Responses to AI Challenges
Two prevailing responses have emerged to the social and ethical problems of AI:
- Ethicists and social scientists have focused largely on principle-based approaches.
- Developers have focused on technical fixes for addressing problems in AI models.
This project speaks to an urgent gap between these approaches: it centers the experiences of marginalized communities and develops interventions into AI concerns that are designed by and for those communities.
Participatory Algorithmic Justice
This project 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.
Research Methodology
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.
Innovative Communication
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.
Conclusion
Tackling a critical problem of global technology justice, this project is a crucial intervention for communities, researchers, and developers to redress AI harms.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 1.472.390 |
| Totale projectbegroting | € 1.472.390 |
Tijdlijn
| Startdatum | 1-9-2025 |
| Einddatum | 31-8-2030 |
| Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- TECHNISCHE UNIVERSITAET MUENCHENpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies. | ERC Starting... | € 1.499.961 | 2023 | Details |
Society-Aware Machine Learning: The paradigm shift demanded by society to trust machine learning.The project aims to develop society-aware machine learning algorithms through collaborative design, balancing the interests of owners, consumers, and regulators to foster trust and ethical use. | ERC Starting... | € 1.499.845 | 2023 | Details |
Enhancing Protections through the Collective Auditing of Algorithmic PersonalizationThe project aims to develop mathematical foundations for auditing algorithmic personalization systems while ensuring privacy, autonomy, and positive social impact. | ERC Consolid... | € 1.741.309 | 2024 | Details |
The 'Vanishing Third Party': Access to Justice, Procedural Justice and Substantive Justice in the Age of Dispute Resolution AutomationThis project aims to develop a normative framework and empirical understanding of algorithmic dispute resolution (DRA) to enhance access, fairness, and outcomes in justice systems worldwide. | ERC Consolid... | € 1.971.671 | 2023 | Details |
Facial Recognition Technologies. Etho-Assemblages and Alternative FuturesThe fAIces project explores the implications of facial recognition technologies by integrating diverse perspectives to expand ethics and foster public engagement and alternative futures. | ERC Advanced... | € 2.467.635 | 2025 | Details |
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.
This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies.
Society-Aware Machine Learning: The paradigm shift demanded by society to trust machine learning.
The project aims to develop society-aware machine learning algorithms through collaborative design, balancing the interests of owners, consumers, and regulators to foster trust and ethical use.
Enhancing Protections through the Collective Auditing of Algorithmic Personalization
The project aims to develop mathematical foundations for auditing algorithmic personalization systems while ensuring privacy, autonomy, and positive social impact.
The 'Vanishing Third Party': Access to Justice, Procedural Justice and Substantive Justice in the Age of Dispute Resolution Automation
This project aims to develop a normative framework and empirical understanding of algorithmic dispute resolution (DRA) to enhance access, fairness, and outcomes in justice systems worldwide.
Facial Recognition Technologies. Etho-Assemblages and Alternative Futures
The fAIces project explores the implications of facial recognition technologies by integrating diverse perspectives to expand ethics and foster public engagement and alternative futures.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Project HominisHet project richt zich op het ontwikkelen van een ethisch AI-systeem voor natuurlijke taalverwerking dat vooroordelen minimaliseert en technische, economische en regelgevingsrisico's beheert. | Mkb-innovati... | € 20.000 | 2022 | Details |
Strijd tegen ongelijke verdeling in financiële keuzes.Het project richt zich op het bestrijden van ongelijkheid door AI en big data in te zetten voor het identificeren van vooroordelen en het verbeteren van de toegang tot middelen. | Mkb-innovati... | € 20.000 | 2023 | Details |
eXplainable AI in Personalized Mental HealthcareDit project ontwikkelt een innovatief AI-platform dat gebruikers betrekt bij het verbeteren van algoritmen via feedbackloops, gericht op transparantie en betrouwbaarheid in de geestelijke gezondheidszorg. | Mkb-innovati... | € 350.000 | 2022 | Details |
Value-Aware Artificial IntelligenceThe VALAWAI project aims to develop a toolbox for Value-Aware AI that integrates moral consciousness to enhance ethical decision-making in social media, robotics, and medical protocols. | EIC Pathfinder | € 3.926.432 | 2022 | Details |
Project Hominis
Het project richt zich op het ontwikkelen van een ethisch AI-systeem voor natuurlijke taalverwerking dat vooroordelen minimaliseert en technische, economische en regelgevingsrisico's beheert.
Strijd tegen ongelijke verdeling in financiële keuzes.
Het project richt zich op het bestrijden van ongelijkheid door AI en big data in te zetten voor het identificeren van vooroordelen en het verbeteren van de toegang tot middelen.
eXplainable AI in Personalized Mental Healthcare
Dit project ontwikkelt een innovatief AI-platform dat gebruikers betrekt bij het verbeteren van algoritmen via feedbackloops, gericht op transparantie en betrouwbaarheid in de geestelijke gezondheidszorg.
Value-Aware Artificial Intelligence
The VALAWAI project aims to develop a toolbox for Value-Aware AI that integrates moral consciousness to enhance ethical decision-making in social media, robotics, and medical protocols.