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
2Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5126657450
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Dr. Amina SAMMACHE (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Research Productivity: 1 paper
- Hiring: 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 |
|---|---|---|---|
| AI and HR analytics are linked to modest productivity gains on average (r = 0.28), but returns vary sharply with data quality, governance and industry; opaque algorithms and weak labor safeguards risk discrimination, privacy loss and the commodification of workers.semantic_scholar | Dr. Amina SAMMACHE provider id |
Fetched 2026-03-15 | 1 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.