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
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5119435059
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- CHINMAYI SHARMA (openalex, provider refresh)
- Chinmayi Sharma (openalex, provider refresh)
- CHINMAYI SHARMA (openalex, source metadata)
- Chinmayi Sharma (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Innovation Output: 1 paper
- Market Structure: 1 paper
- Other: 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 openness is not all or nothing; regulators should govern openness component-by-component. A 'differential openness' framework advises treating compute, data, models and labor as separately configurable levers so policymakers can balance innovation, democratized access, oversight and national security without resorting to blunt open/closed binaries.openalex | CHINMAYI SHARMA provider id |
2026-01-01 | 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.