AI in Healthcare Systems

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.

0:50
Professional Documentary
Updated 2025

About This Documentary

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?

Key Insights

Deep dive into real-world examples and case studies

Evidence-based framework connections and practical applications

Actionable takeaways for immediate implementation

Topics Covered

medtechAIinhealthcareregulatorysciencehistorymatterspatientcareHealthcareAI RegulationMedical Safety

Framework Connection

This video directly supports Pillar 1 of the Bridge Framework: Bias & Fairness

Explore Full Framework