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
2Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2421308268
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Umang Popat (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Human Ai Collab: 2 papers
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 2 papers
- Decision Quality: 2 papers
- Organizational Efficiency: 2 papers
- Other: 2 papers
- Task Allocation: 1 paper
- Consumer Welfare: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Output Quality: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Auditors say AI can sharply speed up and improve audits—particularly fraud detection—but uptake is slowed by high costs, a shortage of skilled staff, and data-security worries, making a human-plus-AI hybrid the expected outcome.openalex | Umang Popat provider id |
2026-01-01 | 0 |
| AI tools raise efficiency and accuracy in accountancy and business advisory, delivering measurable time and cost savings for adopters. However, uneven implementation, data quality issues and integration barriers limit the scale and consistency of those productivity gains.openalex | Umang Popat provider id |
2026-01-01 | 0 |
Citation observation summary
Semantic Scholar 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.