From the course: How AI Is Transforming Pharma: From R&D to Care Delivery
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Responsible AI in healthcare
From the course: How AI Is Transforming Pharma: From R&D to Care Delivery
Responsible AI in healthcare
- Behind every AI model is a mountain of decisions. What data to use, who it's tested on, how results are interpreted. If you work in pharma, those decisions matter. And in healthcare, sometimes there are decisions you can't undo. In actuality, sometimes even the people building these AI systems don't fully understand how they work. It's what we call the black box problem. It's where the system confidently gives an answer, but no one can fully explain how it got there. So how are doctors supposed to trust them or patients? I get why both would be skeptical. Take Epic, for example, a major electronic health record company. They rolled out an AI tool to predict sepsis, geared towards helping clinicians catch this life-threatening condition early. Sounds great, right? But the algorithm was totally opaque. No one could tell exactly how it made its decisions. Turns out it had issues. Outside experts found flaws in the data practices used to develop it. The result was a lot of unnecessary…
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