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Developing Algorithms That Might One Day Be Used Against You
Photo: Mark Lopez/Argonne National Laboratory
Machine learning algorithms serve us the news we read, the ads we see, and in some cases even drive our cars. But there’s an insidious layer to these algorithms: They rely on data collected by and about humans, and they spit our worst biases right back out at us. For example, job candidate screening algorithms may automatically reject names that sound like they belong to nonwhite people, while facial recognition software is often much worse at recognizing women or nonwhite faces than it is at recognizing white male faces. An increasing number of scientists and institutions are waking up to these issues, and speaking out about the potential for AI to cause harm.
Video by Argonne Creative Services
The mummified remains of ancient Egyptians hold many secrets, from the condition of the bodies to the artifacts placed within the burial garments. Now a team of researchers has found a way to unwrap those secrets, without unraveling the mummies themselves.
Three years ago, researchers from Northwestern University, in preparation for an exhibit on campus, carefully transported a 1,900-year-old mummy to the Advanced Photon Source (APS), a US Department of Energy (DOE) Office of Science User Facility at DOE s Argonne National Laboratory. There scientists used powerful X-ray beams to peer inside the layers of linen and resin to examine the 2,000-year-old bones and objects buried within.