no code implementations • Findings (NAACL) 2022 • Daniel Liebling, Katherine Heller, Samantha Robertson, Wesley Deng
Machine translation models are embedded in larger user-facing systems.
1 code implementation • 12 Apr 2023 • Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman
Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal.
no code implementations • 13 May 2022 • Wesley Hanwen Deng, Nikita Mehandru, Samantha Robertson, Niloufar Salehi
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such as in hospitals.
no code implementations • 13 Jul 2020 • 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 stakeholders' values.