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:
A5072805217
ORCID evidence
Observed aliases (4)
- Carlo Romano Marcello Alessandro Santagiustina (openalex, provider refresh)
- Carlo Romano Marcello Alessandro Santagiustina (openalex, source metadata)
- Santagiustina, Carlo Romano Marcello Alessandro (openalex, provider refresh)
- Santagiustina, Carlo Romano Marcello Alessandro (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Other: 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 |
|---|---|---|---|
| LLM labels of EU AI Act submissions are nearly perfectly reproducible but fail to match what stakeholders say in surveys; businesses tend to amplify AI-risk language in public consultations while regulators and some non-business groups do not.openalex | Santagiustina, Carlo Romano Marcello Alessandro provider id |
2026-09-17 | 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.