| Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision M Miceli, M Schuessler, T Yang Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-25, 2020 | 58 | 2020 |
| Documenting computer vision datasets: an invitation to reflexive data practices M Miceli, T Yang, L Naudts, M Schuessler, D Serbanescu, A Hanna Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 42 | 2021 |
| Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? M Miceli, J Posada, T Yang Proceedings of the ACM on Human-Computer Interaction 6 (GROUP), 1-14, 2022 | 26 | 2022 |
| Biased priorities, biased outcomes: Three recommendations for ethics-oriented data annotation practices G Kazimzade, M Miceli Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 71-71, 2020 | 12 | 2020 |
| How Data Can Be Used Against People: A Classification of Personal Data Misuses JL Kröger, M Miceli, F Müller Available at SSRN 3887097, 2021 | 11 | 2021 |
| Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective KM Scott, SM Wang, M Miceli, P Delobelle, K Sztandar-Sztanderska, ... 2022 ACM Conference on Fairness, Accountability, and Transparency, 2138-2148, 2022 | 5 | 2022 |
| Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision M Miceli, J Posada arXiv preprint arXiv:2105.10990, 2021 | 5 | 2021 |
| The Data-Production Dispositif M Miceli, J Posada arXiv preprint arXiv:2205.11963, 2022 | 2 | 2022 |
| Time to Question if We Should: Data-Driven and Algorithmic Tools in Public Employment Services P Delobelle, KM Scott, SM Wang, M Miceli, D Hartmann, T Yang, ... Available from the authors per email request, 0 | 2* | |
| Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data K Pine, C Bossen, N Holten Møller, M Miceli, AJ Lu, Y Chen, L Horgan, ... CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6, 2022 | 1 | 2022 |
| Labour, automation, and human-machine communication J Posada, G Newlands, M Miceli | 1 | 2021 |
| The Exploited Labor Behind Artificial Intelligence A Williams, M Miceli, T Gebru Noema Magazine, 2022 | | 2022 |
| Documenting Data Production Processes: A Participatory Approach for Data Work M Miceli, T Yang, AA Garcia, J Posada, SM Wang, M Pohl, A Hanna arXiv preprint arXiv:2207.04958, 2022 | | 2022 |
| Crossing Data: Building Bridges with Activist and Academic Practices from and for Latin America (Cruzar datos: Tendiendo Puentes con Prácticas Activistas y Académicas desde y … A Alvarado Garcia, I Feldfeber, M Miceli, S Mobayed, H Suárez Val CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6, 2022 | | 2022 |
| Data Annotation for Computer Vision: How Power Shapes Datasets and Systems M Miceli, M Schuessler https://machinelearning-blog.de/anwendung/data-annotation-computer-vision/, 2021 | | 2021 |
| Not Just For-Profit: Towards Ethics-oriented Data Labeling Practices G Kazimzade, M Miceli Ethics of Data Science Conference. University of Sydney, 2020 | | 2020 |
| Making Data, Making Reality. Power, Visibility, and the Production of Datasets for ML M Miceli ACM WomENcourage, 2020 | | 2020 |
Martin SchuesslerTU Berlin / Weizenbaum InstituteVerified email at mschuessler.de
