26 citations · 86 across the 9 of their papers we have counts for
4 papers · 1 filter
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing
Alice Qian Zhang, Ryland Shaw, Jacy Reese Anthis +9
Rapid progress in general-purpose AI has sparked significant interest in "red teaming," a practice of adversarial testing originating in military and cybersecurity applications. AI…
Documenting Data Production Processes: A Participatory Approach for Data Work
Milagros Miceli, Tianling Yang, Adriana Alvarado Garcia +4
The opacity of machine learning data is a significant threat to ethical data work and intelligible systems. Previous research has addressed this issue by proposing standardized che…
The Data-Production Dispositif
Milagros Miceli, Julian Posada
Machine learning (ML) depends on data to train and verify models. Very often, organizations outsource processes related to data work (i.e., generating and annotating data and evalu…
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Milagros Miceli, Julian Posada, Tianling Yang
Research in machine learning (ML) has primarily argued that models trained on incomplete or biased datasets can lead to discriminatory outputs. In this commentary, we propose movin…