Standards for transparent AI in Human Resource Management (TRANKI) – Research data
Description
Disclaimer
The following data-set was collected in February 2025 for the research Project “TRANKI – Standards for transparent AI”, funded by the Hans-Böckler-Foundation (Grant No. 2022-797-2).
The goal was to assess the effects of AI literacy on the interpretation of AI-enhanced user interfaces of HR software, and how explainable AI (XAI) elements affect interpretation results. The project’s research questions were:
- What approaches at the user interface level help make AI systems in human resources transparent for users?
- What differences in transparency requirements and perceptions exist between employees, managers, and HR experts?
All items are included with their German labels and English translations. The translation process was automated, using LLM model mistral-medium-2508, and proof-read by the authors. Please feel free to translate further as needed.
Folder structure and file tree
📂 Tranki-data/│├── 📄 tranki_data.csv # CSV Data set├── 📄 varnames.csv # Variable names German├── 📄 varlabels.csv # Variable labels German├── 📄 varnames_engl.csv # Variable names English├── 📄 varlabels_engl.csv # Variable labels English│├── 📄 LICENSE.md # License├── 📄 README.pdf # Further details and instructions└── 📄 CHANGELOG.md # Version history and changes
For detailed information and guidelines regarding the research dataset, refer to the accompanying README.pdf.
Relevant publication
cite with our publication:
Files
README.pdf
Files
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Additional details
Related works
- Is supplement to
- Conference paper: arXiv:2509.06475 (arXiv)
- Conference proceeding: urn:nbn:de:0074-4046-X (URN)
- Conference paper: https://ceur-ws.org/Vol-4046/RecSysHR2025-paper_3.pdf (URL)
Funding
- Hans Böckler Foundation
- 2022-797-2
Dates
- Other
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2024-12Pretested
- Collected
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2025-02
- Available
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2025-11