SUMMARY AI要約 by gpt-5-mini
ACSIF (Adaptive Child Safety Intelligence Framework) is a research-focused, Python-based multi-agent pipeline that enforces safety, age-appropriateness, psychological sensitivity and fairness for LLM responses to children aged 6–15. Target users are researchers and developers building or auditing child-facing AI systems. Safety logic is distributed across nine agents (persona, risk classifier, psychology, policy, fairness, pedagogy, safety, refinement, judge) that process a query+age through risk assessment, policy action (ALLOW/MODIFY/BLOCK/ESCALATE), draft generation, safety checks, refinement and multi-dimensional scoring. Key features: persona trust tiers and three age bands, individual and group fairness checks grounded in "Fairness Through Awareness", an automatic repair loop on rejected outputs, an offline LLM fallback for testing, and a modular, auditable architecture.
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日付
| GitHub作成日 | 2026-05-16 |
| 最終Push | 2026-05-16 |
| 当サイト初検出 | 2026-05-16 |
| 最終取得 | 2026-05-17 16:10 |
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