2 papers
cs.CY2026
VEAT Quantifies Implicit Associations in Text-to-Video Generator Sora and Reveals Challenges in Bias Mitigation
Yongxu Sun, Michael Saxon, Ian Yang +2
Text-to-Video (T2V) generators such as Sora raise concerns about whether generated content reflects societal bias. We extend embedding-association tests from words and images to vi…
cs.CY2025
An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness
Mike Teodorescu, Yongxu Sun, Haren N. Bhatia +1
The European Union's AI Act represents a crucial step towards regulating ethical and responsible AI systems. However, we find an absence of quantifiable fairness metrics and the am…