Taylor Lynn Curtis

According to our database, Taylor Lynn Curtis authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

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Bijean Ghafouri, Dorsaf Sallami, Luca Luceri, Taylor Lynn Curtis, Jean-François Godbout, Emilio Ferrara, Reihaneh Rabbany

CoRR, February, 2026

The Commodification of AI Sovereignty: Lessons from the Fight for Sovereign Oil.

Rui-Jie Yew, Kate Elizabeth Creasey, Taylor Lynn Curtis, Suresh Venkatasubramanian

CoRR, January, 2026

2025

A Guide to Misinformation Detection Data and Evaluation.

Camille Thibault, Jacob-Junqi Tian, Gabrielle Péloquin-Skulski, Taylor Lynn Curtis, James Zhou, Florence Laflamme, Luke Yuxiang Guan, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Veracity: An Open-Source AI Fact-Checking System.

Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Black-Box Access is Insufficient for Rigorous AI Audits.

Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell

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