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Big Tech Wants to Harvest Your Thoughts

2 weeks 1 day ago
Wired reports that consumer neurotechnology is rapidly moving from the lab into workplaces and homes, with companies including Apple, Meta, and Snap developing products that can monitor or interpret brain activity. Researchers warn that as these systems improve, neural data could become the next major privacy battleground. Some neuroscientists are already calling for a series of core rights, coined "neurorights," that protect "mental privacy," "identity," and personal "agency." Here's an excerpt from the article: Over the past two decades, researchers using functional magnetic resonance imaging (fMRI), which tracks the iron in the hemoglobin supplying oxygen to neurons, have been building up increasingly detailed maps and inventories of the mammalian cortex. Thanks to huge advances in machine-learning artificial intelligence -- computer algorithms that are able to sort through enormous amounts of information and use statistical methods to make classifications and predictions -- fMRI scans can now be used to identify everything from depressive thoughts to the nuanced feelings of envy and schadenfreude. Other algorithms have been able to accurately piece together reconstructions of movie clips watched by subjects, just by analyzing their brain scans; or have detected, in probing the brain activity of swing voters in the US presidential election, responding to photographs and videos of presidential candidates, which candidates provoked anxiety or even disgust, and which elicited positive responses or feelings of empathy. In just the last few years, neuroscience researchers have progressed from decoding images and emotions as they play across the cortex to sounds, words, phrases, and even language. In 2023, in a remarkable demonstration of this emerging technology, a woman called Ann Johnson, who had been paralyzed for 18 years by a brain-stem stroke, was able to speak again through the insertion of a grid of 253 electrodes onto the surface of her brain, which translated her neuronal signals into sentences, in real time, at a rate of 78 words per minute (just about half the speed of standard conversation). The research team at the University of California, led by neurosurgeon Edward Chang, had combined this brain-computer interface with an animated avatar of Johnson's head, which spoke in her own voice, as reconstructed from a recording of a 15-minute toast she had given at her wedding. Just as the avatar's mouth spoke Johnson's words as she thought them, so its expressions were similarly influenced by the nuances of her brain activity, which turned her thoughts about facial gestures into displays of emotion -- from smiles to pursed lips and frowns. [...] The more invasive the recording equipment, the richer and more detailed the data. Surgical interventions are at the vanguard of neuroscience and remain very rare -- fewer than 100 people on the planet have brain-computer interfaces like Johnson's embedded beneath their skulls. Yet almost inevitably, a concerted trickle-down effect is occurring. In the summer of 2023, a team at the University of Texas demonstrated that they could use fMRI to translate brain scans into words and sentences, after subjects listened to 16 hours of the storytelling podcasts The Moth Radio Hour and The New York Times' Modern Love to train an AI model. When the subjects then listened to new podcasts, the algorithm was able to convert the gist of what they heard, as it manifested in their brains, into words, phrases, and sentences that roughly captured the stories. As the team's lead computational neuroscientist, Alexander Huth, put it in an interview with Science, "Our thought when we actually had this working was, 'Oh my God, this is kind of terrifying.'" Now noninvasive, wearable brain scanners are beginning to proliferate beyond the lab, making their way into our workplaces and, through the vast global consumer market, into our homes too.

Read more of this story at Slashdot.

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'Godmother of AI' Says Biggest AI Risk In Schools Is Students Losing the Desire to Learn

2 weeks 1 day ago
Fei-Fei Li, aka The Godmother of AI, says the biggest AI risk in education may be students losing the motivation and agency to learn, rather than simply using the technology to cheat. She argues against banning AI outright, saying it can be valuable when used to support engaged students instead of replacing the thinking and struggle that learning requires. Techspot reports: Speaking on an episode of the science podcast Huberman Lab this week, Li talked about the fears around how students are using AI. "The absolute bad outcome is that our young generation, their agency and human-level motivation of learning and living is taken away by tools," the ImageNet inventor warned. "It should not be taken away by humans nor should it be taken away by machines." If we see a generation of graduates who have completely relied on AI without actively trying to learn anything for themselves, they risk leaving education without having "properly developed the brain," Li said. [...] Li certainly isn't advocating for a complete ban on students using AI. She believes it can genuinely help struggling students who are already engaged in their learning. Li herself noted how she struggled with organic chemistry as a premed student, when teaching assistants and professors didn't have enough time to answer every question. While there's no obvious solution, Li says we need to find a way to keep children and students' motivation and agency. "Let's find a way to give them the access and the right way of using these tools," she said. Li added that if AI is used properly in education, it could make the students of the future "way smarter than us because they are superpowered."

Read more of this story at Slashdot.

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