Index
Grant: ARIA TA1.1: Employing Categorical Probability Towards Safe AI (Advanced Research and Invention Agency (ARIA) → University of Oxford)
Verdictconfirmed95%
2 checks · 1 src · 4/13/2026⚠ Checks disagree: 1 confirmed, 1 unverifiable
Deterministic match: grantee, name matched in source snapshot (48 rows)
Our claim
entire record- Grantee
- University of Oxford
- Name
- ARIA TA1.1: Employing Categorical Probability Towards Safe AI
- Currency
- GBP
- Date
- June 2024
- Notes
- [Safeguarded AI TA1.1] Employing Categorical Probability Towards Safe AI. Lead(s): Sam Staton, Pedro Amorim, Elena Di Lavore, Paolo Perrone, Mario Roman, Ruben Van Belle, Younesse Kaddar, Jack Liell-Cock, Owen Lynch. Institutions: University of Oxford. Status: active.
Source evidence
1 src · 2 checksconfirmed95%deterministic-row-match · 4/13/2026
- Grantee
- University of Oxford
- Focus Area
- TA1.1
- Name
- Employing Categorical Probability Towards Safe AI
- Description
- University of Oxford
- Status
- active
NoteDeterministic match: grantee, name matched in source snapshot (48 rows)
unverifiable85%Haiku 4.5 · 3/25/2026
NoteThe source confirms the existence of TA1 within the Safeguarded AI programme and discusses TA1 work, but does not provide specific information about individual grants, their names, dates, or grantee identifiers. The record references a specific grant with identifiers and a date of 2024-06, none of which appear in the source text. Without explicit confirmation of these specific details, the record cannot be verified from this source.
Case № ntYKuKd-5KFiled 4/13/2026Confidence 95%