Drawing parallels between the thalidomide tragedy and modern AI healthcare systems, this short explores why we demand drug trials but deploy untested AI algorithms that affect life-and-death medical decisions.
The thalidomide story is historically significant, creating a memorable parallel. Connecting past regulation lessons to current AI highlights the need for urgent regulation and responsible governance. The life-and-death scenarios dealt with by unchecked AI systems are highly risky and entirely avoidable. Thalidomide's tragedy reshaped drug testing. Healthcare AI now affects diagnoses and treatments—without equivalent rigour, biases and errors can cost lives. If we demand trials for drugs, why not for algorithms?
Deep dive into real-world examples and case studies
Evidence-based framework connections and practical applications
Actionable takeaways for immediate implementation
This video directly supports Pillar 1 of the Bridge Framework: Bias & Fairness
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