Responsible AI
AI can help read evidence.
It does not decide what is true about a person.
Arrota uses AI to assist document extraction and classification. A person reviews the output, and AI does not determine whether a record is valid.
Where AI helps
Reading, not judging.
- Extracting text from documents a holder uploads, where supported
- Identifying likely fields such as dates, titles, and organisations
- Structuring that information for a person to review
- Suggesting a classification for a person to review
Where it stops
Four decisions AI does not make.
- ExcludedDecide whether a credential is genuine
- ExcludedTurn a holder upload into Organisation-confirmed proof
- ExcludedScore a person’s trustworthiness, employability, talent, or credibility
- ExcludedInfer facts about a person beyond the submitted document
People in the loop
High-confidence extractions are stored automatically.
High-confidence extractions are stored in the holder's vault automatically. Fields the model is unsure about are marked for review, and a holder can correct anything in their vault at any time — but review is a path for uncertain fields, not a gate every record waits behind.
Data, models and feedback
How Arrota handles data, models, and feedback.
Data handling
AI processes a holder’s document only for the purpose for which it was submitted. Personal data is not used to train models. The Privacy Notice describes the approved handling.
Claim matching
Formal verification matches structured fields deterministically. It is not an AI judgment. AI may assist extraction or normalisation; validity requires traceable source evidence.
Model changes
When AI behaviour changes materially, this page and the Trust Center will be updated.
Feedback
If a document was read incorrectly or a boundary is unclear, tell us . AI-related corrections follow the same traceable process as record corrections.