Content Moderation

DIA-HARM: Harmful Content Detection Robustness Across 50 English Dialects featured image

DIA-HARM: Harmful Content Detection Robustness Across 50 English Dialects

DIA-HARM evaluates 16 harmful content detection models across 50 English dialects using 195K+ samples, revealing 1.4–3.6% F1 drops for fine-tuned models and up to 27% for zero-shot …

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Jason Lucas
AI Robustness & Adversarial Safety featured image

AI Robustness & Adversarial Safety

Investigating how dialect diversity, authorship obfuscation, and expert-level text editing expose critical vulnerabilities in content detection systems.