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
7Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5034210756
ORCID evidence
Observed aliases (2)
- Farzaneh Karegar (openalex, provider refresh)
- Karegar, Farzaneh (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Other: 1 paper
- Regulatory Compliance: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
- Consumer Welfare: 1 paper
- Ai Safety And Ethics: 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 |
|---|---|---|---|
| Scroll-and-click consent no longer suffices for AI systems: invisible inferences, model updates, and delegated decisions make traditional privacy disclosures ineffective; interdisciplinary design and a new research agenda are needed to create contextual, usable consent that shapes data flows, firm incentives, and market outcomes.openalex | Karegar, Farzaneh orcid |
2026-04-17 | 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.