228 citations · 512 across the 4 of their papers we have counts for
4 papers
"From What I see, this makes sense": Seeing meaning in algorithmic results
Samir Passi, Phoebe Sengers
In this workshop paper, we use an empirical example from our ongoing fieldwork, to showcase the complexity and situatedness of the process of making sense of algorithmic results; i…
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
Samir Passi, Steven J. Jackson
The trustworthiness of data science systems in applied and real-world settings emerges from the resolution of specific tensions through situated, pragmatic, and ongoing forms of wo…
Data Vision: Learning to See Through Algorithmic Abstraction
Samir Passi, Steven J. Jackson
Learning to see through data is central to contemporary forms of algorithmic knowledge production. While often represented as a mechanical application of rules, making algorithms w…
Problem Formulation and Fairness
Samir Passi, Solon Barocas
Formulating data science problems is an uncertain and difficult process. It requires various forms of discretionary work to translate high-level objectives or strategic goals into…