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Dan Vann
Observed name:
Vann, Dan
Institution:
Microsoft (United States)
Observed institutions:
Microsoft (United States),
Microsoft Research (United Kingdom),
University of California, Berkeley
OpenAlex ID:
A5092596088
FairPrism: Evaluating Fairness-Related Harms in Text Generation
2023
·
Eve Fleisig
, Aubrie Amstutz
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
14
PDF
Taxonomizing Representational Harms using Speech Act Theory
2025
·
Emily Corvi
, Hannah Washington
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
·
6
PDF
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications
2023
·
Magooda, Ahmed
, Helyar, Alec
, et al.
·
arXiv (Cornell University)
·
2
PDF
Taxonomizing Representational Harms using Speech Act Theory
2025
·
Corvi, Emily
, Washington, Hannah
, et al.
·
arXiv (Cornell University)
·
1
PDF
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
2025
·
Wallach, Hanna
, Desai, Meera
, et al.
·
arXiv (Cornell University)
·
1
PDF
Evaluating Generative AI Systems is a Social Science Measurement Challenge
2024
·
Wallach, Hanna
, Desai, Meera
, et al.
·
arXiv (Cornell University)
·
1
PDF
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
2026
·
Chouldechova, Alexandra
, Cooper, A. Feder
, et al.
·
arXiv (Cornell University)
PDF
ASSERT: A Measurement Pipeline for GenAI Audits
2026
·
Riccardo Fogliato
, Abhinav Palia
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Anecdoctoring: Automated Red-Teaming Across Language and Place
2025
·
Alejandro Cuevas
, Saloni Dash
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
2025
·
Alex Chouldechova
, A. Feder Cooper
, et al.
·
neural information processing systems
A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts
2024
·
Chouldechova, Alexandra
, Atalla, Chad
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
13
Citation count:
25
H-index:
2
I10-index:
1
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