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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5139365413
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Dey, Piyal (openalex, provider refresh)
- Dey, Piyal (openalex, source metadata)
- Piyal Dey (openalex, provider refresh)
- Piyal Dey (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Other: 1 paper
- Governance And Regulation: 1 paper
- Hiring: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| An AI screener can cut some recruitment bias when tightly configured — anonymized CVs, full-text MPNet retrieval and full job descriptions paired with a baseline GPT-4.1-nano prompt performed best — yet gender is still inferable from resumes and stylistic differences magnify unfairness, so technical tuning alone does not eliminate risk.openalex | Dey, Piyal 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.