Dan Vann

According to our database, Dan Vann authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming.

Alexandra Chouldechova, A. Feder Cooper, Solon Barocas, Abhinav Palia, Dan Vann, Hanna M. Wallach

CoRR, January, 2026

2025

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge.

Hanna M. Wallach, Meera A. Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J. Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Anecdoctoring: Automated Red-Teaming Across Language and Place.

Alejandro Cuevas, Saloni Dash, Bharat Kumar Nayak, Dan Vann, Madeleine I. G. Daepp

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Taxonomizing Representational Harms using Speech Act Theory.

Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alexandra Chouldechova, P. Alex Dow, Jean Garcia-Gathright, Nicholas J. Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna M. Wallach

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts.

Alexandra Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Nicholas Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna M. Wallach

CoRR, 2024

Evaluating Generative AI Systems is a Social Science Measurement Challenge.

Hanna M. Wallach, Meera A. Desai, Nicholas Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alexandra Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs

CoRR, 2024

2023

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications.

Ahmed Magooda, Alec Helyar, Kyle Jackson, David Sullivan, Chad Atalla, Emily Sheng, Dan Vann, Richard Edgar, Hamid Palangi, Roman Lutz, Hongliang Kong, Vincent Yun, Eslam Kamal, Federico Zarfati, Hanna M. Wallach, Sarah Bird, Mei Chen

CoRR, 2023

FairPrism: Evaluating Fairness-Related Harms in Text Generation.

Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023