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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5099013661
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Muhammad Urifianto Ardhan (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Social Protection: 1 paper
- Job Displacement: 1 paper
- Other: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| Indonesia's labor law is unprepared for AI-driven disruption: current statutes emphasize post-termination compensation but lack clear duties for retraining or mechanisms to share AI-driven productivity gains, prompting calls for legal reform to embed lifelong learning, social protection, and fiscal instruments such as automation taxes.openalex | Muhammad Urifianto Ardhan provider id |
2026-03-29 | 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.