AI Podcast Translation Needs Human Governance

AI-powered podcast translation can extend content reach, but production readiness depends on quality control, consent, and fallback workflows. The article explains how transcription, translation, speaker separation, and voice cloning performed in a real multilingual podcast experiment, where informal speech patterns, inconsistent synthetic voices, accent drift, pacing issues, and unpredictable regeneration required manual review. It also highlights why AI voice use must remain optional and clearly disclosed. Leaders should treat AI dubbing as an assisted production workflow, not a fully autonomous publishing pipeline.