Speech-To-Text

Speech-to-text technology converts spoken audio into written text, enabling voice-based interactions across applications, customer service systems, and accessibility features. For enterprise AI governance, organizations must manage risks including speaker identification accuracy, data privacy concerns around audio storage, and potential bias in transcription quality across different accents and languages. Compliance teams need policies covering consent for voice data processing, retention schedules for sensitive audio recordings, and fairness testing to ensure equal performance for all users.

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Corporate PolicyGlobal2026-09-03

Google's Gemini 3.5 Transcribe Creates Uncharted Compliance Territory for Voice Data

Google announced Gemini 3.5 Transcribe, a speech-to-text model designed for real-time transcription, voice agents, live captioning, and post-call analytics. The model is available for enterprise deployment globally. No safety evaluation documentation or regional use restrictions are publicly surfaced in the available release materials, leaving regulated users to resolve consent, retention, and biometric compliance obligations independently.

Gemini 3.5 Transcribe Google speech-to-text biometric data call recording voice data data retention automated decision-making