Graduate student Joy Buolamwini tested three different face-recognition systems and found that the accuracy is best when the subject is a lighter skinned man, reports Timothy Revell for New Scientist. With facial recognition software being used by police to identify suspects, “this means inaccuracies could have consequences, such as systematically ingraining biases in police stop and searches,” writes Revell.
Molly Wood at Marketplace speaks with Media Lab graduate student Joy Buolamwini about the findings of her recent research, which examined widespread bias in AI-supported facial recognition programs. “At the end of the day, data reflects our history, and our history has been very biased to date,” Buolamwini said.
Recent research from graduate student Joy Buolamwini shows that facial recognition programs, which are increasingly being used by law enforcement, are failing to identify non-white faces. “When these systems can’t recognize darker faces with as much accuracy as lighter faces, there’s a higher likelihood that innocent people will be targeted by law enforcement,” writes Katharine Schwab for Co. Design.
Writing for Gizmodo, Sidney Fussell explains that a new Media Lab study finds facial-recognition software is most accurate when identifying men with lighter skin and least accurate for women with darker skin. The software analyzed by graduate student Joy Buolamwini “misidentified the gender of dark-skinned females 35 percent of the time,” explains Fussell.
CSAIL researchers have developed a new navigation method that allows drones to process less data, have faster reaction times, and dodge obstacles without creating a map of the environment they’re in, writes James Vincent of The Verge. “Because we’re not taking hundreds of measurements and fusing them together, it’s really fast,” said graduate student Peter Florence.
A study co-authored by MIT graduate student Joy Buolamwini finds that facial-recognition software is less accurate when identifying darker skin tones, especially those of women, writes Josh Horwitz of Quartz. According to the study, these errors could cause AI services to “treat individuals differently based on factors such as skin color or gender,” explains Horwitz.
A drone navigation system developed by CSAIL researchers doesn’t rely on intricate maps that show the location of obstacles, but adjusts for uncertainties, reports Martin Finucane of The Boston Globe. The system could be used in “in fields from search-and-rescue and defense to package delivery,” notes Finucane.
CSAIL researchers have developed a mapping system for autonomous drones, writes Andrew Tarantola of Endgadet. Using depth-sensing technology to measure their immediate surroundings, the drone can “understand generally where it is in relation to obstacles and anticipate how it will need to change course to avoid them,” Tarantola explains.
New research shows that using volcanic ash in cement mixtures could enable “stronger and more environmentally friendly” construction in future cities, reports Sydney Periera for Newsweek. “There may be a tremendous implication of energy savings at the city scale,” Prof. Oral Büyükoztürk tells Periera.
Steve Lohr writes for the New York Times about graduate student Joy Buolamwini’s findings on the biases of artificial intelligence in facial recognition. “You can’t have ethical A.I. that’s not inclusive,” Buolamwini said. “And whoever is creating the technology is setting the standards.”
International Business Times reporter Himanshu Goenka writes about MIT’s recent research that examines how volcanic ash could serve as a concrete additive and reduce manufacturing energy usage by 16%. “Volcanic ash forms under high heat and high pressure, and nature kind of does all those chemical reactions for us,” said study coauthor Stephanie Chin, a senior in CEE.
NBC Mach’s Denise Chow writes about MIT research being done to develop color-changing, 3D printed clothing using UV light. “We wanted to know, how can we update the color of an object at any time?” said Prof. Stephanie Mueller.
Profs. James DiCarlo and Daniela Rus talk to the BBC’s Click about MIT Intelligence Quest. As they explain, the program aims to encourage discoveries in the areas of natural and artificial intelligence.
Los Angeles Times writer Amina Khan examines the planets that surround dwarf star TRAPPIST-1 – highlighting that most planets near earth’s size are likely to be rocky. “It will be really fascinating when we get to dive into the atmosphere of each of these planets and see how different or similar they are," said postdoc Julien de Wit.
Paul Solman of PBS Newshour speaks to Prof. Andrew Lo about getting investors to finance research into treatments for cancer and genetic diseases. “We now have the opportunity to treat disease in many, many different ways. We just don’t have enough money to explore all of the different pathways,” explains Prof. Lo.