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
5Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5044581150
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Parul Tiwari (openalex, provider refresh)
- Parul Tiwari (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 1 paper
- Task Completion Time: 1 paper
- Turnover: 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 |
|---|---|---|---|
| AI tools in HR can sharply reduce hiring times and improve retention while tailoring employee learning, but the gains are uneven and accompanied by bias and privacy risks; the paper argues for hybrid human–AI models, workforce upskilling, and transparent governance to realize benefits sustainably.openalex | Parul Tiwari provider id |
2025-12-06 | 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.