Grant

Grant: ARIA TA1.4: Privacy-preserving AI Safety Verification (Advanced Research and Invention Agency (ARIA) -> University of Birmingham)

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partial50% confidence

2 evidence checks from 1 unique source

Last checked: 4/3/2026

[deterministic-row-match] Partial deterministic match: grantee matched but name did not (48 rows)

Evidence — 1 source, 2 checks

www.aria.org.uk/programme-safeguarded-ai/ARIA(2 checks)

partial50%deterministic-row-match · 4/3/2026

Found: Matched row: {"grantee":"Hashberg Ltd / University of Birmingham","focusArea":"TA1.1","name":"Hyper-optimised Tensor Contraction for Neural Networks Verification","description":"Hashberg Ltd / Univers…

Note: [deterministic-row-match] Partial deterministic match: grantee matched but name did not (48 rows)

unverifiable85%Haiku 4.5 · 3/25/2026

Found: The source text discusses the Safeguarded AI programme with Technical Areas (TA1, TA2, TA3) and mentions TA1 as a focus area, but does not specifically mention a grant called 'ARIA TA1.4: Privacy-pres…

Note: While the source confirms the existence of TA1 within the Safeguarded AI programme and discusses expanding TA1's scope, it does not contain specific information about the grant record being verified. The source does not mention the grant name, the date (2025-02), the grantee identifier (bEVAImWDe3), or the funder identifier (XqjV4mbMXQ). Without explicit confirmation of these specific details in the source text, the record cannot be verified.

Debug info

Record type: grant

Record ID: DpdfO1rUx6