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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5076257224
ORCID evidence
Observed aliases (1)
- Neha Mehta (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Inequality: 1 paper
- Ai Safety And Ethics: 1 paper
- Consumer Welfare: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Other: 1 paper
- Skill Acquisition: 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-enabled finance platforms broaden credit and savings access for low-income users and help buffer climate shocks—women appear to benefit most; but digital-literacy gaps, infrastructure limits and privacy risks threaten inclusive reach and sustained impact.openalex | Neha Mehta orcid |
2026-03-26 | 1 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.