Face-Feature Tuning is a label-free logit remapping method that reduces FPR/TPR gaps across groups in deepfake detection while preserving overall accuracy.
What to account for when accounting for algorithms: A systematic literature review on algorithmic accountability
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Empirical study finds strong heterogeneity in LLM process alignment across models and organizations; process alignment predicts output accuracy in legal decisions but is low and resistant in credit decisions where higher alignment may not be desirable.
Thematic analysis of 43 AI contestation cases, using Bovens's relational accountability model, produces categories of demands from below, institutional pushback, outcomes, and contextual factors shaping effective contestation.
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Push and Pushback in Contesting AI: Demands for and Resistance to Accountability
Thematic analysis of 43 AI contestation cases, using Bovens's relational accountability model, produces categories of demands from below, institutional pushback, outcomes, and contextual factors shaping effective contestation.