jvzhu/corporate-stage-harbor-benchmark
Corporate Stage: Workplace Algorithmic Governance Benchmark An initial, synthetic Harbor benchmark for evaluating whether AI agents can perform bounded workplace-governance tasks involving data minimization, defensible KPI analysis, and escalation of workplace-monitoring alerts. This benchmark accompanies the research project The Corporate Stage: Algorithmic Surveillance and Workplace Visibility. Tasks workplace-privacy-minimization — identify unnecessary or… See the full description on the dataset page: https://huggingface.co/datasets/jvzhu/corporate-stage-harbor-benchmark.
| Author / organization | jvzhu |
|---|---|
| License (as declared) | mit |
| Downloads | 171 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 October 2026 |
| Last updated at source | 18 October 2026 |
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Recent changes
- 18 Oct 2026 Description: none → Corporate Stage: Workplace Algorithmic Governance Benchmark An initial, synthetic Harbor benchmark for evaluating whether AI agents can perform bounded workplace-governance tasks involving data minimization, defensible KPI analysis, and esc
- 18 Oct 2026 Topics added harbor, agent-evaluation, algorithmic-governance, workplace-surveillance, digital-sociology
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