Index
Grant: ARIA TA1.1: Employing Categorical Probability Towards Safe AI (Advanced Research and Invention Agency (ARIA) → University of Oxford)
Verdictunverifiable85%
2 checks · 1 src · 9/21/20261 → unverifiable; stale (excluded): 1 → confirmed
Our claim
entire record- Grantee
- University of Oxford
- Name
- ARIA TA1.1: Employing Categorical Probability Towards Safe AI
- Currency
- GBP
- Date
- January 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 · 9/21/2026
- 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 · 5/25/2026
NoteRe-check. Previous verdict: unverifiable. Verdict unchanged.
Case № 26Ku1c2aAIFiled 9/21/2026Confidence 85%