MedCity News December 19, 2024
Lars Maaløe

AI should augment, not replace, human provider expertise. Explainability empowers healthcare professionals to work in tandem with AI, ensuring that patients receive the most accurate and informed care.

Would you blindly trust AI to make important decisions with personal, financial, safety, or security ramifications? Like most people, the answer is probably no, and instead, you’d want to know how it arrives at those decisions first, consider its rationale, and then make your own decision based on that information.

This process, known as AI explainability, is key to unlocking trustworthy AI – or AI that is both reliable and ethical. As sensitive industries like healthcare continue to expand the use of AI, achieving trustworthiness and explainability in AI models is critical...

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Topics: AI (Artificial Intelligence), Technology
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