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Working Group

Arbeitsgemeinschaft

Unseen and Uneven: Rethinking Data Work and Policy-Making from Below

This working group builds on growing inquiries into the invisible labor sustaining artificial intelligence and asks: How is human labor organized, formalized, and valued across different phases of AI development? What kinds of epistemic authority do data workers possess, and how are their contributions recognized or erased? What might bottom-up policy initiatives that foreground workers’ perspectives and benefits look like?

We bring together researchers, data workers and civil society, and collaborate through expert workshops and collaborative drafting. Participants contribute their insights from case studies and lived labor experiences, which is essential for developing worker-centered policy initiatives.

We aim to publish white papers or policy papers, and to translate research insights into impacts through public panels and policy-engaged dialogues. Moreover, the working group intends to foster an interdisciplinary and international network among researchers, workers and civil society who are committed to epistemic labour justice.

Main Research Areas

  • Data work
  • Epistemic justice
  • Worker-centered

Antragsteller:in
  • Dr. Adio Dinika, Distributed AI Research Institute; University of Bremen
  • Tianling Yang, Weizenbaum Institute; Technische Universität Berlin
  • Camilla Salim Wagner, Distributed AI Research Institute
Organizer
  • Dr. Adio Dinika, Distributed AI Research Institute; University of Bremen
  • Tianling Yang, Weizenbaum Institute; Technische Universität Berlin
  • Camilla Salim Wagner, Distributed AI Research Institute
Teilnehmer:innen
  • Srravya Chandhiramowuli, University of Edinburgh
  • Juana Torres Cierpe, Institut national de Recherche en Informatique et en Automatique
  • Ephantus Kanyugi, Data Labelers Association
  • Kauna Malgwi, African Content Moderators Union
  • Nerima Wako, Siasa Place
  • Sonja Mei Wang, University of Wuppertal
  • Assia Wirth, Institut Polytechnique de Paris
Participants
  • Srravya Chandhiramowuli, University of Edinburgh
  • Juana Torres Cierpe, Institut national de Recherche en Informatique et en Automatique
  • Ephantus Kanyugi, Data Labelers Association
  • Kauna Malgwi, African Content Moderators Union
  • Nerima Wako, Siasa Place
  • Sonja Mei Wang, University of Wuppertal
  • Assia Wirth, Institut Polytechnique de Paris