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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5100922151
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Brown, Elizabeth A. (openalex, provider refresh)
- Brown, Elizabeth A. (openalex, source metadata)
- Elizabeth Brown (openalex, provider refresh)
- Elizabeth Brown (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Employment: 1 paper
- Governance And Regulation: 1 paper
- Ai Safety And Ethics: 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 |
|---|---|---|---|
| Employers are increasingly using AI to predict workers’ future health risks, outpacing legal protections and creating a new avenue for preemptive discrimination; the paper calls for targeted reforms at federal and state levels to safeguard privacy, equal opportunity, and worker security.openalex | Brown, Elizabeth A. provider id |
2026-01-01 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.