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#child safety

child safety

1 篇论文

A child-safety research team studies branching multi-turn dialogue traces behind a protected classroom observation window without showing harmful content
会议论文2025
会议论文 66

Child-specific multi-turn red teaming found safety gaps that adult baselines and single-turn tests missed

Prasanjit Rath, Hari Shrawgi, Parag Agrawal, Sandipan Dandapat

NAACL 2025 Industry Track

Rath and colleagues created 560 synthetic child personas and matched adult baselines to red-team six language-model snapshots over five-turn conversations. The benchmark found substantially higher defect rates for child scenarios in several categories and showed that many failures emerged only after the dialogue developed.

child safetylarge language modelsred teaming
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AIEDHKAI in Education Hub of Knowledge

AIEDHK 是面向 AI in Education 研究、开发与负责任学习创新的多语言知识枢纽。

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