Climate Change Could Force Millions of Americans to Flee the Coast. AI Predicts Where They’ll Go
By the end of the century, sea level rise could force 13 million people to move away from the U.S. coasts. But it’s not just the coasts that will be affected—so will the places where those migrants end up. In a study published last week in PLOS One, researchers used artificial intelligence to predict where those places are. The findings could have huge value to people not only living on the coast, but the communities that may deal with an influx of climate refugees inland over the coming century. “Our findings indicate that everybody should care about sea-level rise, whether they live on the coast or not,” Bistra Dilkina, a Computer Science Assistant Professor at the University of Southern California who led the study, said in a statement.
no shit, Sherlock — and this will be dwarfed by levels of international migration….(tags: climate-change migration papers climate ai future refugees)
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Why cancer-spotting AI needs to be handled with care
“There’s this idea in society that finding more cancers is always better, but it’s not always true,” Adewole Adamson, a dermatologist and assistant professor at Dell Medical School, tells The Verge. “The goal is finding more cancers that are actually going to kill people.” But the problem is “there’s no gold standard for what constitutes cancer.” As studies have found, you can show the same early-stage lesions to a group of doctors and get completely different answers about whether it’s cancer. And even if they do agree that that’s what a lesion shows — and their diagnoses are right — there’s no way of knowing whether that cancer is a threat to someone’s life. This leads to overdiagnosis, says Adamson: “Calling things cancer that, if you didn’t go looking for them, wouldn’t harm people over their lifetime.” As soon as you do call something cancer, it triggers a chain of medical intervention that can be painful, costly, and life-changing. In the case of breast cancer, that might mean radiation treatments, chemotherapy, the removal of tissue from the breast (a lumpectomy), or the removal of one or both breasts entirely (a mastectomy). These aren’t decisions to be rushed. Overdiagnosis, he says, “is a problem for a lot of different cancers; for prostate, melanoma, breast cancer, thyroid. And if AI systems become better and better at finding smaller and smaller lesions you will manufacture a lot of pseudo-patients who have a ‘disease’ that won’t actually kill them.”
(tags: overdiagnosis health medicine cancer computer-vision automation ai google diagnosis)