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 →
2Distinct papers
102Unique collaborators
2/2OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5047596586
ORCID evidence
Observed aliases (3)
- Chumachenko, Dmytro (openalex, provider refresh)
- Dmytro Chumachenko (openalex, provider refresh)
- Dmytro Chumachenko (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Other: 2 papers
- Consumer Welfare: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
- Research Productivity: 1 paper
- Social Protection: 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 |
|---|---|---|---|
| Countries that publish more AI research tend to be better prepared for AI: Scopus publication counts explain 46% of variation in the IMF AI Preparedness Index across 173 countries, concentrated in high‑income nations and the Americas; low‑income countries show little alignment, underscoring structural capacity gaps.openalex | Dmytro Chumachenko provider id |
2026-08-27 | 0 |
| AI experts see multiple pathways to catastrophe within five years: in a Delphi of 272 specialists, 18 of 24 assessed risks had more than a 10% chance of catastrophic outcomes under business‑as‑usual by 2030, and even with pragmatic mitigations five risks retained >10% catastrophe probability, with general‑purpose AI developers and governance actors judged most responsible for mitigation.arxiv | Chumachenko, Dmytro orcid |
2026-06-03 | 0 |
Citation observation summary
OpenAlex supplied counts for 2 of 2 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.