What happened
CADA, a Sydney station owned by the Australian Radio Network (ARN) and carried on DAB+ digital radio and the iHeartRadio app, ran a weekday music show, “Workdays with Thy.” For approximately six months before it was revealed in April 2025, Thy introduced tracks and filled the space between songs in a warm, confident, young-sounding voice. That voice was not a person. It was reportedly generated with the AI voice company ElevenLabs and modelled on a real ARN employee, and it was presented to the audience as a host named Thy, accompanied by promotional imagery depicting the presenter. Listeners were reportedly never told she was synthetic.
The gap was noticed in April 2025 when the Sydney writer Stephanie Coombes, in her newsletter The Carpet, asked the obvious question no one could answer: who is Thy? There was no surname, no biography, no history anywhere. ARN then confirmed the host was AI-generated. At the time there were no specific broadcasting rules against an undisclosed AI presenter, so the station had breached no code; the objection was to the silence. Teresa Lim, of the Australian Association of Voice Actors, reportedly called the move deceptive, and noted the added sting that a synthetic persona was reportedly styled as a young Asian woman while real voice artists went unhired. ARN reportedly framed the exercise as a trial that had delivered valuable insights and said it reinforced “the power of real personalities.” In the aftermath the rules changed: under the Commercial Radio Code of Practice 2026, the ACMA now requires stations to disclose when a synthetic voice hosts a regularly scheduled program, effective 1 July 2026.
What an auditable version would have shown
The question that took months and a journalist to answer, whether the host is a person or a program, should be answerable in a single line at any moment. An auditable version binds every broadcast segment to a record of what produced it: that the audio was machine-generated, which voice model and version made it, whose voice it was cloned from and with what consent, and when it aired. Disclosure then stops being a favour the broadcaster may withhold and becomes a field in the record, and the same entry that would tell a regulator the segment was synthetic can drive the on-air and in-app label that tells a listener the same thing.
Where the gap was
The failure wasn’t that AI was used. The failure was that listeners were never given accurate provenance about what they were hearing. The host’s identity, that Thy is an AI voice and not a presenter, was not attached to the thing it produced; it lived in a marketing decision that could choose to say nothing, rather than in the output, which would carry its own provenance. PersonaGuard would enforce that a system’s presented identity matches its actual identity, preventing a synthetic presenter from being represented as a human without explicit disclosure. ConductRecord would preserve an immutable record of how each segment was generated: the model, the source voice, consent, timestamps and disclosure metadata, so the fact of AI is recorded at the source, not admitted after someone forces the question.
What governance should have looked like
“Is this a real person?” is among the first things an audience is entitled to know, and the answer should be built into the broadcast rather than supplied on demand. A synthetic presenter is a defensible editorial choice; running one styled as a human, and only explaining the choice once questioned, is where trust broke down. Provenance recorded at the moment of generation, a persona that cannot misrepresent itself, and a disclosure that follows the audio wherever it plays would have made the six-month mystery a non-question, and left ARN able to show exactly what it did and when, instead of confirming it after the fact. Trust wasn’t lost because AI hosted the show. Trust was lost because listeners couldn’t distinguish between a human voice and a synthetic one.
The reference implementation of PersonaGuard and ConductRecord is open source. It lives at github.com/saffronandindia/headlights-oss, Apache 2.0 licensed and free to install. The repository is public now.
Sources
- Radio Station Duped Audience and Secretly Used an AI Host for Six Months (Vice)
- Backlash over ARN use of AI radio host modelled on Asian woman (Mediaweek)
- Australian radio station found to be using AI host but not telling listeners (Global News)
- AI disclosure required under new commercial radio rules (ACMA)