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该论文通过系统文献综述与128位从业者评估，提出并验证了AI鲁棒性审计框架的44项元需求（分为16个类别），以帮助组织构建和评估AI鲁棒性审计框架。
This paper presents a design-science audit protocol for detecting supervision drift in proxy-labeled credit-risk prediction models, with multi-signal diagnostics tested on LendingClub data.
This paper presents a sociotechnical AI pipeline for ITSM ticket data, combining LLM-based schema normalization and clustering to generate executive-facing decision-support artifacts. Stakeholder evaluation shows strong ratings across interpretability, actionability, trust, and likelihood of use.
This paper presents a senior-friendly pedestrian routing system developed using design science research, incorporating barriers, amenities, and safety thresholds, validated through a field study with older adults.
This position paper argues that interactive AI evaluation should be treated as a design science paradigm, proposing a two-axis taxonomy and reporting standards for assessing dynamic system behavior through trajectories.