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After the pandemic, education was partly moved to online environments. During this period, many students resorted to the help of artificial intelligence to pass their assignments or written
After the pandemic, education was partly moved to online environments. During this period, many students resorted to the help of artificial intelligence to pass their assignments or written exams. Then they didn’t get the grades they expected. For ChatGPT, can write unreal things in a very realistic way. It seems like ChatGPT keeps making things up when it comes to medicine.
Ophthalmologist from the University of Cagliari in Italy Giuseppe GiannaccareChatGPT tested for a study. In this test, ChatGPT was used to highlight a treatment. consisting of false data It was noticeable that he made a list. Giannaccare said in his statement:GPT-4 created false data on hundreds of patients in minutes. “It was a very surprising but also terrifying experience.” he said.
The ophthalmologist and his team use ChatGPT as an advanced tool Python By combining it with a data analytics model, the researchers found that when they asked to generate clinical data for an eye condition, ChatGPT started to match the data. Structure of the eye and methods of treatment to artificial intelligence The researchers explained it in detail and then explained two procedures that are not much different from each other. Still, ChatGPT 4 produced enough fake data to draw attention to a procedure.
artificial intelligence advantages It happens a lot. Yes, artificial intelligence can be very useful for some processes. When it comes to science or academic studies, artificial intelligence that writes unreal things as real poses a serious problem. On the other hand, the only problem here is the artificial intelligence making up data that does not exist not.
If you have artificial intelligence, write a poem or explain a topic, plagiarism detection programs can show you these parts. Or it may cause the incorrect part of the article to be corrected. Work false data When they arrive and these data are not checked, they may end up in the literature. In this case, future studies may also add this erroneous information. Furthermore, if these studies are accepted as correct, they can cause errors and even fatal problems.
Research, JAMA OphthalmologyIt was published in .
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Alice Smith is a seasoned journalist and writer for Div Bracket. She has a keen sense of what’s important and is always on top of the latest trends. Alice provides in-depth coverage of the most talked-about news stories, delivering insightful and thought-provoking articles that keep her readers informed and engaged.
