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:
A5129359735
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Monica Khadgi (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Ai Safety And Ethics: 1 paper
- Consumer Welfare: 1 paper
- Research Productivity: 1 paper
- Adoption Rate: 1 paper
- Firm Productivity: 1 paper
- Inequality: 1 paper
- Market Structure: 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 has already begun to lift productivity and reshape services and labor markets, but its benefits are uneven and come with governance, ethical and environmental costs. Realizing net societal gains will require human-centered system design, regulatory frameworks for safety and accountability, and incorporation of sustainability metrics into AI development.openalex | Monica Khadgi provider id |
2026-03-13 | 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.