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Battling AI Hallucinations : Detect And Defeat False Positives

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Hallucination

I am an artificial intelligence expert with close to half a decade of experience working with several Fortune 500 companies, such as AbbVie and IQVIA, among others. My professional experience cuts across different segments in AI, such as natural language processing, deep learning, machine learning, business intelligence, and reinforcement learning.

– how it accelerates workflows, saves time, and drives better revenues across various fields. It is not wrong by any means. It is driving positive outcomes like never before, but there’s more to the story. AI also has a bad side, one that hallucinates and veers off track from time to time.

But, as these products make their way into healthcare settings, many are also raising alarms over the problems they can lead to. The biggest concern is the risk of hallucinations, where the model can provide incorrect information, ultimately leading to wrong decisions and medical outcomes.‘The Acolyte’ Episode 3 Review: One Of The Worst ‘Star Wars’ Episodes Ever Made

Educational institutes should also start offering “AI in healthcare” courses. This can prepare future doctors and other medical staff to tackle challenges related to misinformation fuelled by AI. If they run into information extracted using generative AI, they will know how to promptly verify it with reliable peer-reviewed sources to avoid any untoward incidences.

 

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