AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveillance
Artificial intelligence (AI) is transforming not only what information systems researchers design, but also how design research is conducted. Yet existing literature offers limited guidance for computational design science (CDS) when AI actively participates in problem formulation, resource construction, design search, evaluation, and knowledge abstraction. We develop AI for Computational Design Science (AI4CDS), a five-phase methodological framework in which AI expands problem and design search while researchers retain responsibility for domain grounding, admissibility, verification, and scie
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- PossiblePossibly related (embedding) · 56%AI helps design new materials that work in the real world - Technology Org →
- PossiblePossibly related (embedding) · 53%This Is How Anthropic Thinks AI Agents Should Navigate the Physical World →
- FuzzySimilar title/name (fuzzy) · 59%Developer-Y/cs-video-courses →
“Fuzzy title match (0.73): “AI for Computational Design Science: A Responsible Human-AI ” ≈ “Developer-Y/cs-video-courses””
- LinkedLinked via arxiv author · 85%Wenli Zhang →
“AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveill”
- LinkedLinked via arxiv author · 85%Jiaheng Xie →
“AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveill”
- LinkedLinked via arxiv author · 85%Zhihe Pan →
“AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveill”
- LinkedLinked via arxiv author · 85%Yidong Chai →
“AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveill”
- LinkedLinked via arxiv author · 85%Xiao Fang →
“AI for Computational Design Science: A Responsible Human-AI Framework and Case Study on Short-Form Video Safety Surveill”