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arXiv AI By Wenli Zhang, Jiaheng Xie, Zhihe Pan, Yidong Chai, Xiao Fang, Sudha Ram

AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveillance

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The paper introduces AI4CDS, a five‑phase framework that guides how AI can participate in computational design science while keeping researchers responsible for domain grounding, verification, and scientific judgment. It emphasizes principles such as graduated trust, reversibility, auditability, and differentiated reproducibility. The authors demonstrate the framework with ChildRiskGuard, an interpretable system that detects child‑inappropriate short‑form videos, achieving an F1 score of 0.769 and outperforming generic content‑safety models.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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