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 span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5062110478
ORCID evidence
Observed aliases (2)
- Muhammad Asif (openalex, provider refresh)
- Muhammad Asif (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Adoption Rate: 1 paper
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Hiring: 1 paper
- Inequality: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 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 promises to make HR leaner and more personalized—automating hiring, standardizing reviews and tailoring development—but the evidence base lacks robust field evaluations and flags serious privacy and ethical risks, underscoring the need for regulation and more empirical research.openalex | Muhammad Asif provider id |
2025-12-18 | 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.