Artificial intelligence (AI) and imaging are increasingly on the rise. There is growing concern about News false information that AI can create, or even misinformation that can happen when AI is not used wisely.
An unusual mouse
Recently, a peculiar situation resulted in the withdrawal of an article from the scientific journal ‘Frontiers in Cell and Developmental Biology’, the study included an AI-generated figure.
When using intelligence artificial to generate images that should illustrate their discoveries, one of them, which portrayed a mouse with grotesque anatomical aspects and errors, attracted more attention than the research content itself.
The image was considered bizarre to say the least by the scientific community. The researchers had to remove the scientific work that contained such an illustration from the air.
The study that caused controversy in scientific publications was about stem cells. Scientists were investigating the properties and therapeutic potential of these cells in tissue regeneration.
Mouse made by AI caused an uproar among scientists – Image: Frontiers in Cell and Developmental Biology/Reproduction
The image displayed a mouse designed by Mid Journey that, in addition to strange features, contained several typing errors and cells that did not correspond to the animal’s anatomy.
But ultimately, the magazine apologized to the scientific community for the error and thanked its readers who quickly brought it to their attention.
What have we learned from all this?
This situation highlights the importance of paying attention when relying on AI. Artificial intelligence can generate inaccurate and erroneous information, which harms several aspects of reality.
It is essential that scientists and researchers are aware of the quality and precision of the information generated by artificial intelligence, especially when it comes to scientific publications.
Furthermore, the responsible use of this technology is essential to avoid negative consequences, such as the spread of misinformation and loss of trust in science.
You researchers they must ensure that AI algorithms are trained with accurate and relevant data, and that results are carefully checked before being used in studies and research.
In short, we know that while artificial intelligence offers many opportunities and advances in imaging and other areas, it is crucial to exercise caution and responsibility when applying it.
Trust in AI can only be maintained if it is used ethically and carefully, ensuring that the information generated is accurate and reliable.
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