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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2283914623
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Avijit Ghosh (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Decision Quality: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Job Displacement: 1 paper
- Market Structure: 1 paper
- Skill Obsolescence: 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 |
|---|---|---|---|
| Treating AI primarily as chatbots is a value-laden choice that reshapes work and markets — often for the worse. Left unchecked, widespread chatbot adoption risks deskilling users, concentrating technological power, amplifying misinformation, and driving costly infrastructure investments; policy and design should favor task-specific tools, accountability, and pluralistic systems.arxiv | Avijit Ghosh provider id |
2026-05-08 | 0 |
Citation observation summary
Semantic Scholar 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.