activity
20202022
most citedModeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms

57 citations · 69 across the 4 of their papers we have counts for

collaborators

4 papers

cs.HC20221 cited

Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust

Wesley Hanwen Deng, Nikita Mehandru, Samantha Robertson +1

Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such as in hospitals. However, in order to use MT…

cs.HC20222 cited

Not Another School Resource Map: Meeting Underserved Families' Information Needs Requires Trusting Relationships and Personalized Care

Samantha Robertson, Tonya Nguyen, Niloufar Salehi

Public school districts across the United States have implemented school choice systems that have the potential to improve underserved students' access to educational opportunities…

cs.HC202157 cited

Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms

Samantha Robertson, Tonya Nguyen, Niloufar Salehi

Across the United States, a growing number of school districts are turning to matching algorithms to assign students to public schools. The designers of these algorithms aimed to p…

cs.CY20209 cited

What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design

Samantha Robertson, Niloufar Salehi

Emerging methods for participatory algorithm design have proposed collecting and aggregating individual stakeholder preferences to create algorithmic systems that account for those…