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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5102510232
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Attique Ur Rehman (openalex, provider refresh)
- Attique ur Rehman (openalex, provider refresh)
- Attique Ur Rehman (openalex, source metadata)
- Attique ur Rehman (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Error Rate: 1 paper
- Fiscal And Macroeconomic: 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 has modernized Pakistan's financial system—boosting efficiency and credit/fraud analytics—yet has also introduced new systemic risks such as algorithmic bias, cyber exposure, and correlated decision-making; outcomes depend critically on regulatory capacity and data governance.openalex | Attique Ur Rehman provider id |
2026-01-27 | 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.