How FM Radio Stations Handle Regulatory Compliance with AI-Generated Content

By the KAVANA engineering team -- June 2026

When we deployed AI-generated content on live FM broadcasts, the compliance question was not theoretical. Real regulations govern what goes out over the air, who is accountable, and how violations are handled.

The Three-Tier Review Architecture

Tier 1: Algorithmic pre-screening -- An n-gram content classifier marks content APPROVED, FLAGGED_REVIEW, or REJECTED before TTS generation.

Tier 2: Workflow approval -- Content with real-world claims or event references requires human sign-off. Logged with reviewer ID and timestamp.

Tier 3: Broadcast logging -- Every on-air segment is logged with audio file hash (wav9 format), full review chain, and transmission timestamp to millisecond precision.

The Emergency Override Problem

Our implementation uses a watchdog process with a high-priority slot in the audio scheduling queue. When an override arrives, the watchdog pre-empts all other audio sources immediately. AI generation is treated as stateless -- on resume, the next content item is generated fresh.

Music Licensing as a Data Pipeline Problem

Every track played requires a structured compliance record: track title, artist, ISRC code, duration actually broadcast, and broadcast timestamp. The playout system maintains a continuous log with precise sample counts.

Practical Lessons

• Log more than you think you need. Compliance audits come months later.
• Keep the human-in-the-loop for edge cases. Novel events need human judgment.
• Design for override from day one. It shapes your entire audio pipeline architecture.

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KAVANA is broadcast playout software deployed on 500+ FM stations since 2005. Learn more at kavanafm.com.