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
1/1Semantic Scholar citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2432339169
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Yana Tytska (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Firm Productivity: 1 paper
- Inequality: 1 paper
- Market Structure: 1 paper
- Other: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Regulation will determine whether AI spreads prosperity or concentrates power: the EU’s comprehensive digital and AI rules give it an institutional edge, while Ukraine’s reliance on older legal structures risks higher market concentration, inequality and slower innovation; policymakers should craft unified, nationally adapted AI regulations drawing on European models.semantic_scholar | Yana Tytska provider id |
Fetched 2026-05-22 | 0 |
Citation observation summary
Semantic Scholar 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.