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
1Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5033935720
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Dr. Madhulika Sonawane (openalex, provider refresh)
- Madhulika A. Sonawane (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Consumer Welfare: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Other: 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 |
|---|---|---|---|
| AI could substantially raise social welfare in health, education, environment and civic services, but those gains will not be automatic — governments must couple procurement, standards and risk frameworks with international cooperation to prevent bias, unequal access and systemic harm.semantic_scholar | Dr. Madhulika Sonawane provider id |
Fetched 2026-03-15 | 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.