Should you always be told if you’re talking to an AI? This episode delves into the recent scandal surrounding an Australian radio station's use of an AI host without proper disclosure. David Brown, Ben Harvey, and the team explore the blurred lines between function and deception, asking where we should draw the line on transparency.

They debate AI’s growing role in areas like healthcare, law, and media, questioning whether humans will remain the trusted source in high-stakes situations. The episode also tackles a controversial topic: Is AI-generated content really worse than Photoshopped images we’ve accepted for decades?

Packed with thoughtful discussion, practical examples, and a few laughs along the way, this episode offers a grounded look at the ethical grey areas in our AI-driven world.

Top 3 Takeaways:

1. AI Disclosure Depends on Context: The hosts debated whether AI-generated content should be disclosed. David argued disclosure isn’t always necessary, especially for functional tasks like booking appointments. Others felt that in contexts involving trust, such as news, politics, or medicine, disclosure is vital to prevent misinformation and maintain credibility.
2. AI’s Future Role in Expertise and Decision-Making: The conversation explored how AI could surpass human capabilities in fields like medicine, law, and journalism. In 2050, people might trust AI more than humans for diagnoses, legal defence, and even judgments, given AI’s superior access to data and consistency.
3. Image Manipulation and the Double Standard: The group highlighted a gap in public scrutiny: AI-generated images must be flagged, but heavily edited photos from traditional tools like Photoshop are often not. They questioned whether the real issue is how something was altered or why, arguing for consistent transparency standards.