Source link : https://health365.info/ai-stumbles-on-scientific-ethics-puzzles-echoing-human-cognitive-shortcuts/
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A learn about by way of investigators on the Icahn College of Drugs at Mount Sinai, in collaboration with colleagues from Rabin Scientific Heart in Israel and different collaborators, means that even probably the most complex synthetic intelligence (AI) fashions could make unusually easy errors when confronted with advanced scientific ethics situations.
The findings, which carry necessary questions on how and when to depend on huge language fashions (LLMs), equivalent to ChatGPT, in well being care settings, had been reported in NPJ Virtual Drugs. The paper is titled “Pitfalls of Large Language Models in Medical Ethics Reasoning.”
The analysis workforce used to be impressed by way of Daniel Kahneman’s e-book “Thinking, Fast and Slow,” which contrasts rapid, intuitive reactions with slower, analytical reasoning. It’s been noticed that giant language fashions (LLMs) falter when vintage lateral-thinking puzzles obtain refined tweaks.
Development in this perception, the learn about examined how neatly AI techniques shift between those two modes when faced with well known moral dilemmas that were intentionally tweaked.
“AI can be very powerful and efficient, but our study showed that it may default to the most familiar or intuitive answer, even when that response overlooks critical details,” says co-senior writer Eyal Klang, MD, Leader of Generative AI within the Windreich Division of Synthetic…
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Publish date : 2025-07-22 10:04:00
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