activity
20132026
most citedProblem Formulation and Fairness

228 citations · 653 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2026★ 6 cited

From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction

Upol Ehsan, Samir Passi, Koustuv Saha +3

In the future of work discourse, AI is touted as the ultimate productivity amplifier. Yet, beneath the efficiency gains lie subtle erosions of human expertise and agency. This pape…

cs.HC2022★ 40 cited

Seamful XAI: Operationalizing Seamful Design in Explainable AI

Upol Ehsan, Q. Vera Liao, Samir Passi +2

Mistakes in AI systems are inevitable, arising from both technical limitations and sociotechnical gaps. While black-boxing AI systems can make the user experience seamless, hiding…

cs.HC2021★ 89 cited

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

Upol Ehsan, Samir Passi, Q. Vera Liao +4

Explainability of AI systems is critical for users to take informed actions. Understanding "who" opens the black-box of AI is just as important as opening it. We conduct a mixed-me…

cs.HC2021★ 1 cited

"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…

cs.CY2020★ 188 cited

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…

cs.HC2020★ 95 cited

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…

cs.CY2019★ 228 cited

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…

cs.DL2013★ 6 cited

Mapping EINS -- An exercise in mapping the Network of Excellence in Internet Science

Almila Akdag Salah, Sally Wyatt, Samir Passi +1

This paper demonstrates the application of bibliometric mapping techniques in the area of funded research networks. We discuss how science maps can be used to facilitate communicat…