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CADA's secret use of an AI host named Thy raises red flags about transparency and ethics in broadcasting, sparking debate over the role of artificial intelligence in media deception.
An Australian radio station, CADA, has come under fire for using an AI-generated host named Thy for the past six months without informing its listeners. The station, which broadcasts in Sydney and on the iHeartRadio app, used voice cloning technology from ElevenLabs to create a four-hour daily show called Workdays with Thy, airing from Monday to Friday.
The controversy highlights significant ethical concerns surrounding transparency and disclosure in media content, particularly as AI technologies become more sophisticated and indistinguishable from human interactions. The Australian Communications and Media Authority (ACMA) currently has no specific regulations governing the use of AI in broadcast content, but the incident has sparked a broader debate about the need for such guidelines.
The primary risk lies in the potential deception of listeners. Teresa Lim, vice president of the Australian Association of Voice Actors, emphasized this point: “They should have been upfront and completely honest, disclosing that the radio host was an AI. People have been deceived into thinking it’s a real person because there’s no AI labelling.” This lack of transparency not only undermines trust but also raises questions about the ethical responsibilities of broadcasters in the age of advanced AI.
Despite the backlash, the incident underscores the potential for AI to enhance content creation and delivery. ARN project leader Fayed Tohme acknowledged the experiment's success, stating that Thy “sounds real” and has garnered a following. In a since-deleted LinkedIn post, he wrote: “No mic, no studio, just code and vibes. An experiment by ARN and ElevenLabs that’s pushing the boundaries of what ‘live radio’ even means.” This suggests that AI-generated content could offer new opportunities for broadcasters to innovate and reach wider audiences.

The true nature of Thy's identity came to light after Sydney-based writer Stephanie Coombes raised questions about the host's authenticity. In a blog post, Ms. Coombes noted: “What is Thy’s last name? Who is she? Where did she come from? There is no biography, or further information about the woman who is supposedly presenting this show.” Audio analysis revealed that Thy sounded identical when saying the words "old school" across different shows, a red flag for AI-generated content.
In response to the criticism, Australian Radio Network (ARN) issued a statement: “We’ve been trialling AI audio tools on CADA using the voice of Thy, an ARN team member. This is a space being explored by broadcasters globally, and we are committed to exploring how new technology can support great content and improve our output.” However, this explanation did little to assuage concerns about transparency.
The incident has prompted discussions within the broadcasting industry about the ethical implications of using AI-generated voices. Voice actors and media professionals have called for clearer guidelines to prevent similar deceptions. The Australian Association of Voice Actors, among others, has advocated for mandatory disclosure when AI is used in content creation.
While the use of AI in broadcasting offers exciting possibilities for innovation, it also necessitates a robust framework of transparency and ethical standards. As ARN's experiment with Thy demonstrates, failing to disclose the use of AI can erode trust and credibility. The industry must address these concerns proactively to ensure that technological advancements serve both creators and consumers responsibly.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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2 May 2025
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