We are a new gremlinic in AI machine


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When working on a health bed during the coviet pandemic, one of my relatives heard some strange stories. His job helped to complete the fast lateral flow tests used millions of times during lockers. However, some callers were openly confused by the procedure. “So I drunk the liquid in the pipe. What do I do now?” asked one.

This user’s confusion can be an extreme example of the general technological problem: how ordinary people use a product or service in the real world can be brutally separated from the intentions of designers in the laboratory.

Sometimes this abuse can be deliberately for better or worse. For example, borderless campaigning organization journalists tried to protect the contents of a free speech in several authoritarian countries Mining Video game server. Criminals, meanwhile used 3D printers at this time to produce tutested weapons. More often, it becomes randomly abused, as in abuse, coviet tests. Conduct the problem of abuse or “Imp” for a short time. New Gremlins in Machines can be anti-chathbots.

Pick up the general purpose chatBots like Chatgpt, Used by 17 percent of Americans At least once a month retains health concerns. These chatBots have incredible technological capabilities that will look like a magic a few years ago. In terms of clinical knowledge, triage, text generalization and answers to patient questions, the best models can now be in line with human doctors. Two years ago, for example, Used a mother chatgpt in the UK 17 Identify the cord syndrome (related to Spina BiFida) in the son kidnapped by the doctor.

This increases the prospect that these conversations will be the “front door” one day, improves health supply and access to a low price. This week, Wes streeting, the British Minister of Health, promised To improve the NHS application using artificial intelligence, take care of a doctor in your pocket, “but the best ways that can be used best is not the same as they use the most. A recent study headed by Oxford Internet Institute Stresses some disturbances, the users struggle to use them effectively.

Researchers noted 1,298 participants to test how well they can use to chatBots to chatBots to respond to 10 medical scenarios, including participants 1,298 participants, casual headaches and pneumonia. Participants were asked to determine the health condition and find a recommended course of action. Three chatbots were used: Openai’s GPT-4O, Meta’s Llama 3 and Cohere’s command R + has some different features.

When the test scenarios are directly accessed to AI models, Chatbots identified the conditions in 94.9 percent of the cases. However, the participants worsened: they informed incomplete, and often misunderstood their conversations, resulting in a total of 34.5 percent of the success rate. The technological capabilities of these models did not change, but human entries caused many different speeches. What was bad, the test participants were also superior by the conversation group, but it was consulted with regular search engines instead.

The results of such research do not mean we have to stop using chatbots for health recommendations. However, it shows that designers should pay more attention to how much the designers can use. “Engineers tend to think that people use technology wrong. Therefore, the user’s fault is the user’s fault. But the founder of the user is the founder of the EU,” the founder of an EU tells me. This is especially true with users who want medical advice, many hopeless, sick or old people can be people who show signs of mental deterioration.

More experts can help health conversations. However, Last Stanford University Study Some widely used therapy Chatbots can “offer” can provide can lead to dangerous consequences and failures “that help solve mental health problems. Researchers offer user tips, to direct interaction and communicate more clearly, they offer more security guards to require information.

Technical companies and healthcare providers should also have more user tests in real-world conditions to ensure appropriate use of models. The development of strong technologies is something; It is quite another thing to learn to place them effectively. Avoid the Imps.

john.tornhill@ft.com



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