Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
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These files are supplementary files for the “Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges” study. File "Data_AI_challenges.docx" presents the list of data-AI challenges surrounding AI adoption in public sector as identified through the SLR, with SLR results available in the file "Data_AI_challenges_SLR".
本批文件为《公共部门人工智能负责任采用:以数据为中心的人工智能采用挑战分类法》研究的补充文件。文件"Data_AI_challenges.docx"列出了通过系统文献综述(Systematic Literature Review,SLR)识别出的、围绕公共部门人工智能采用所产生的数据-人工智能挑战清单,该系统文献综述的结果可在文件"Data_AI_challenges_SLR"中查阅。
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Zenodo创建时间:
2025-06-07



