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:
A5148903533
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Ramniyata Jairath (openalex, provider refresh)
- Ramniyata Jairath (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Error Rate: 1 paper
- Hiring: 1 paper
- Regulatory Compliance: 1 paper
- Worker Satisfaction: 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 |
|---|---|---|---|
| Hiring algorithms are effectively unaccountable because opaque models, closed procurement, and absent per-candidate records leave rejected applicants without recourse; the author proposes a multi-level 'contestable accountability' framework and nine propositions to shift policy from explaining algorithms to ensuring decisions can be answered.openalex | Ramniyata Jairath provider id |
2026-09-01 | 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.