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Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal. With finite time and …
Samantha Robertson*, Zijie J. Wang*, Dominik Moritz, Mary Beth Kery, Fred Hohman
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Expressiveness, Cost, and Collectivism: How the Design of Preference Languages Shapes Participation in Algorithmic Decision-Making
Emerging methods for participatory algorithm design have proposed collecting and aggregating individual stakeholders’ preferences to …
Samantha Robertson*, Tonya Nguyen, Cathy Hu, Catherine Albiston, Afshin Nikzad, Niloufar Salehi
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Not Another School Resource Map: Meeting Underserved Families’ Information Needs Requires Trusting Relationships and Personalized Care
Public school districts across the United States have implemented school choice systems that have the potential to improve underserved …
Samantha Robertson*, Tonya Nguyen, Niloufar Salehi
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Reliable and Safe Use of Machine Translation in Medical Settings
Language barriers between patients and clinicians contribute to disparities in quality of care. Machine Translation (MT) tools are …
Nikita Mehandru, Samantha Robertson*, Niloufar Salehi
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Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat
Machine translation (MT) is now widely and freely available, and has the potential to greatly improve cross-lingual communication. In …
Samantha Robertson*, Mark Díaz
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Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such …
Wesley Hanwen Deng, Nikita Mehandru, Samantha Robertson*, Niloufar Salehi
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Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms
Across the United States, a growing number of school districts are turning to matching algorithms to assign students to public schools. …
Samantha Robertson*, Tonya Nguyen, Niloufar Salehi
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An Open-Source Realtime Computation Platform (Short WIP Paper)
Systems neuroscience studies involving in-vivo models often require realtime data processing. In these studies, many events must be …
Pavan Mehrotra, Sabar Dasgupta, Samantha Robertson*, Paul Nuyujukian
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