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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5128202292
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Maiza Fikri (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Skill Acquisition: 1 paper
- Adoption Rate: 1 paper
- Employment: 1 paper
- Inequality: 1 paper
- Job Displacement: 1 paper
- Organizational Efficiency: 1 paper
- Skill Obsolescence: 1 paper
- Social Protection: 1 paper
- Task Allocation: 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 is both an enabler and a disruptor: it spawns new AI-augmented jobs and productivity gains but also displaces routine work and risks widening skill and income gaps; coordinated upskilling, organizational change and regulation are required to secure inclusive benefits.semantic_scholar | Maiza Fikri provider id |
Fetched 2026-03-15 | 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.