Bright Etornam Sunu

Language-Specific Gaps in AI Safety Training Datasets

It is connected to a documented, persistent asymmetry in multilingual jailbreak robustness (single-turn attacks largely mitigated, multi-turn attacks still effective), arguing that this asymmetry is structurally consistent with where the audit finds training and evaluation data thinnest.