Nari Johnson

According to our database, Nari Johnson authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Provocation: Who benefits from "inclusion" in Generative AI?

Samantha Dalal, Siobhan Mackenzie Hall, Nari Johnson

CoRR, 2024

Public Procurement for Responsible AI? Understanding U.S. Cities' Practices, Challenges, and Needs.

Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari

CoRR, 2024

The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment.

Nari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models.

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Ameet Talwalkar

Trans. Mach. Learn. Res., 2023

Assessing AI Impact Assessments: A Classroom Study.

Nari Johnson, Hoda Heidari

CoRR, 2023

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms.

Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar

CoRR, 2023

2022

Evaluating Systemic Error Detection Methods using Synthetic Images.

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar

CoRR, 2022

Rethinking Stability for Attribution-based Explanations.

Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, Himabindu Lakkaraju

CoRR, 2022

Use-Case-Grounded Simulations for Explanation Evaluation.

Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OpenXAI: Towards a Transparent Evaluation of Model Explanations.

Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning Predictive and Interpretable Timeseries Summaries from ICU Data.

Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021