Fiske Lab

Technical University of Munich

Bayern (DE2) · Germany

ERC-funded
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ERC Starting Grant · 2024

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

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 creation of new ones. Two prevailing responses have emerged to the social and ethical problems of AI: ethicists and social scientists have focused largely on principle-based approaches, and 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…

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