Measuring Model Biases in the Absence of Ground Truth. - Osman Aka; Ken Burke; Alex Bäuerle; Christina Greer; Margaret Mitchell (AIES, 2021)

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. - Ben Hutchinson; Andrew Smart; Alex Hanna; Emily Denton; Christina Greer; Oddur Kjartansson; Parker Barnes; Margaret Mitchell (FAccT, 2021)

Thinking Beyond Distributions in Testing Machine Learned Models. - Negar Rostamzadeh; Ben Hutchinson; Christina Greer; Vinodkumar Prabhakaran (CoRR, 2021)

Evaluation Gaps in Machine Learning Practice. - Ben Hutchinson; Negar Rostamzadeh; Christina Greer; Katherine A. Heller; Vinodkumar Prabhakaran (FAccT, 2022)

Visual Identification of Problematic Bias in Large Label Spaces. - Alex Bäuerle; Aybuke Gul Turker; Ken Burke; Osman Aka; Timo Ropinski; Christina Greer; Mani Varadarajan (CoRR, 2022)