University of California, Berkeley scientist Jack Gallant began studying brain decoding over a decade ago using a different algorithm. He said the pace at which this technology develops depends not only on the model used to decode the brain — in this case, the AI — but the brain imaging devices and how much data is available to researchers. Both fMRI machine development and the collection of data pose obstacles to anyone studying brain decoding.
The team from the National University of Singapore used image-generating AI software called Stable Diffusion, which has been embraced around the world to produce stylized images of cats, friends, spaceships and just about anything else a person could ask for. “When you look at the grass, maybe I will think about the mountains and then you will think about the flowers and other people will think about the river,” Zhao said.
But the system has to be arduously trained on a specific person’s brain waves, so it’s a long way from wide deployment. Like many recent AI developments, brain-reading technology raises ethical and legal concerns. Some experts say in the wrong hands, the AI model could be used for interrogations or surveillance.
“This is a world in which not just your brain activity is being collected and your brain state — from attention to focus — is being monitored,” she said, “but people are being hired and fired and promoted based on what their brain metrics show.”
thats creepy can we not?
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