Nari Johnson

16 papers A* 2Misc 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs.
FAccT
Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari
2024 J jnl
Provocation: Who benefits from "inclusion" in Generative AI?
CoRR
Samantha Dalal, Siobhan Mackenzie Hall, Nari Johnson
2024 J jnl
Public Procurement for Responsible AI? Understanding U.S. Cities' Practices, Challenges, and Needs.
CoRR
Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari
2024 — conf
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment.
FAccT
Nari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami
2024 J jnl
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment.
CoRR
Nari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami
2023 J jnl
Assessing AI Impact Assessments: A Classroom Study.
CoRR
Nari Johnson, Hoda Heidari
2023 J jnl
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models.
Trans. Mach. Learn. Res.
Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Ameet Talwalkar
2023 J jnl
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms.
CoRR
Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar
2022 J jnl
Evaluating Systemic Error Detection Methods using Synthetic Images.
CoRR
Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar
2022 A* conf
OpenXAI: Towards a Transparent Evaluation of Model Explanations.
NeurIPS
Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju
2022 J jnl
OpenXAI: Towards a Transparent Evaluation of Model Explanations.
CoRR
Chirag Agarwal, Eshika Saxena, Satyapriya Krishna, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju
2022 J jnl
Rethinking Stability for Attribution-based Explanations.
CoRR
Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, Himabindu Lakkaraju
2022 A* conf
Use-Case-Grounded Simulations for Explanation Evaluation.
NeurIPS
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar
2022 J jnl
Use-Case-Grounded Simulations for Explanation Evaluation.
CoRR
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar
2021 Misc conf
Learning Predictive and Interpretable Timeseries Summaries from ICU Data.
AMIA
Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez
2021 J jnl
Learning Predictive and Interpretable Timeseries Summaries from ICU Data.
CoRR
Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez