Milagros Miceli

I am a doctoral researcher with the Weizenbaum Institute and TU Berlin. I investigate work practices of data creation and focus on power dynamics and their effects on machine learning datasets. Broadly, I am interested in questions of meaning creation and symbolic power encoded in training data. My work comprises ethnographic fieldwork with data annotators, collectors, and scientists in different sites around the world. I hold a BA degree in Communication in Social and Economic Contexts and a MA in Social Sciences.

Selected Publications

Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices
by Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, and Alex Hanna.

In Conference on Fairness, Account- ability, and Transparency (FAccT ’21), March 3–10, 2021.

ACM digital library // PDF //


Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision.
by Milagros Miceli, Martin Schuessler, and Tianling Yang. 2020.
In Proc. ACM Hum.-Comput. Interact. 4, CSCW2, Article 115 (October 2020).
Best Paper Award  

ACM digital library // PDF // 5-minute presentation //


Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices.
by Gunay Kazimzade and Milagros Miceli. 2020.
In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ’20). Association for Computing Machinery, New York, NY, USA.

ACM digital library // PDF //


Making Data, Making Rality. Power, Visibility, and the Production of Datasets for ML.
by Milagros Miceli. 2020.
ACM Celebration of Women in Computing – WomENcourage ’20 (24.-26.09.2020). Baku, Azerbaijan.

ACM digital library // PDF //

© Milagros Miceli 2020