Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5021799586
ORCID evidence
Observed aliases (2)
- Nicole Denier (openalex, provider refresh)
- Nicole Denier (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Ai Safety And Ethics: 1 paper
- Hiring: 1 paper
- Other: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Algorithmic hiring tools risk hiding and amplifying workplace inequalities: while promised as efficient and objective, recruitment AIs can reproduce bias through opaque models and institutional legitimation, requiring interdisciplinary scrutiny and shared regulatory responsibility.openalex | Nicole Denier provider id |
2025-12-30 | 8 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 8 cumulative citations. This is a coverage summary, not an author score or h-index.