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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5134629287
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Olha Horobets (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Inequality: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 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's riches are accruing to the rich: North America, Europe and parts of Asia–Pacific lead in connectivity, education and AI deployment while large swaths of Africa and South Asia lack the infrastructure and skills to share the benefits; without concerted investment in inclusion and governance, the global AI divide—and its economic and social costs—will deepen.semantic_scholar | Olha Horobets provider id |
Fetched 2026-05-04 | 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.