Responsible AI

AI interpretation augments qualified interpreter programs; it does not replace them. Every session offers escalation to your own human interpreters — by phone dispatch to the organization’s interpreter line or through interpreter vendor integrations — and escalation events are logged. Organizations decide, per their policies and applicable law, when a qualified human interpreter is required, and the platform is built to make that handoff immediate.

Transcripts, translations, and session summaries are presented to professionals for review — they are working drafts, not autonomous communications. Session summaries are provider-facing and intended for review by a qualified professional before any content reaches an end recipient.

We do not use customer call audio, transcripts, or summaries to train foundation models or third-party models. Any future program using customer content for model improvement would be explicit, opt-in, and contractually documented.

The platform does not create voiceprints or speaker-identification templates. We treat this as an engineering guardrail: any feature that would identify speakers biometrically would require a new privacy review and explicit consent design before it is built.

Call participants should know when AI is part of the conversation. The platform provides call announcements and disclosure tooling so organizations can meet notice requirements in their jurisdictions.

We monitor interpretation quality across languages — including lower-resource languages where accuracy gaps are a known industry risk — and improve models and guardrails based on measured performance. Our governance approach is aligned with the NIST AI Risk Management Framework’s functions: govern, map, measure, and manage.

For security reviews, compliance documentation, or questions about our AI practices, contact ai@veyatia.com.