I Tested Claude on 30+ Drug Interactions. The Failure Wasn’t Accuracy

Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. What modern medical AI gets right — and the safety problem it still can’t solve I spent a week trying to trick Claude into giving dangerous medical advice. I tested 30+ drug combinations, from common interactions to obscure ones. Image caption not provided in the original content.The article discusses the effectiveness and safety concerns of Claude, a modern medical AI, in handling drug interactions. It highlights that the AI performs well in identifying accurate interactions but reveals a critical flaw: it cannot discern legitimate inquiries from harmful ones, leading to the risk of providing dangerous advice to individuals with ill intentions. The author concludes that while AI can ensure medical accuracy, addressing intent safety remains a significant challenge. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI

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