John Markoff writes for The New York Times that a new study co-authored by MIT Prof. Iyad Rahwan finds that drivers are conflicted when it comes to the ethics of autonomous vehicles. Prof. Rahwan and his colleagues found that “what people really want to ride in is an autonomous vehicle that puts its passengers first.”
Prof. David Autor spoke with The Economist about the impact of artificial intelligence and automation on jobs. “This notion that there’s only a finite amount of work to do, and therefore that if you automate some of it there’s less for people to do, is just totally wrong,” he says.
A study by Prof. Iyad Rahwan of the Media Lab finds that while people want autonomous vehicles that minimize casualties, they ultimately want the car they’re driving in to prioritize passengers over pedestrians, writes Amy Dockser Marcus of The Wall Street Journal.
Dean of Admissions Stuart Schmill spoke with The Boston Globe’s Michael Levenson about the Supreme Court’s decision to uphold affirmative action. The decision “reaffirms the value of diversity in higher education and our ability to achieve that diversity,” said Schmill.
A new study co-authored by Prof. Iyad Rahwan grapples with the ethics of autonomous vehicles, writes Hal Hodson for New Scientist. When it comes to saving passengers versus pedestrians, researcher worry the findings will “[limit] the promise of this technology to dramatically cut road deaths.”
Researchers at the Media Lab believe it’s possible to virtually transfer thoughts to an artificial intelligence entity that continues to live after we’ve died, writes Dan Tynan for The Guardian. “My ultimate goal is to bridge the gap between life and death by eternalizing our digital identity,” says Visiting Prof. Hossein Rahnama.
Ethan Zuckerman, Director of the Center for Civic Media, writes for The Atlantic about technology’s role in solving social problems. “[I]t’s rare that technology provides a robust solution to a social problem by itself. Successful technological approaches to solving social problems usually require changes in laws and norms, as well as market incentives to make change at scale.”
CSAIL researchers used videos of popular TV shows to train an algorithm to predict how two people will greet one another. “[T]he algorithm got it right more than 43 percent of the time, as compared to the shoddier 36 percent accuracy achieved by algorithms without the TV training,” notes Janet Burns in Forbes.
Baby Boomers are counting on technology to make aging easier, writes Robert Weisman for The Boston Globe. Prof. Joe Coughlin’s work at the AgeLab, and companies by Prof. Bob Langer and Prof. Leonard Guarente, are cited for their attempts to do just that.
Prof. Kevin Esvelt and his team at the Media Lab hope to make gene drives safer by splitting genes into three or more elements, writes New Scientist. “If it works, it could allow a gene drive to be tested locally, to combat malaria, say, without spreading to other cities,” the article notes.
Janissa Delzo writes for CNN that MIT researchers have developed a platform to 3-D print thousands of hair-like structures in minutes. "The purpose of this project is looking beyond the aesthetic perspective," explains graduate student Jifei Ou. "What kind of new functionality can we bring to the material?"
Mary Beth Griggs writes for Popular Science that CSAIL researchers have created an algorithm that can predict human interaction. Griggs explains that the algorithm could “lead to artificial intelligence that is better able to react to humans or even security cameras that could alert authorities when people are in need of help.”
Dan Misener writes for CBC News that CSAIL researchers have developed an algorithm that can predict interactions between two people. PhD student Carl Vondrick explains that the algorithm is "learning, for example, that when someone's hand is outstretched, that means a handshake is going to come."
Melissa Mittelman writes for Bloomberg News that a study conducted by AgeLab researchers shows that 76 percent of Americans age 50 and up said they will seek out high-tech safety features for their next car purchase. The results suggest that “people are becoming increasingly comfortable relying on the car’s internal systems,” writes Mittelman.
CSAIL researchers have trained a deep-learning program to predict interactions between two people, writes Hope King for CNN. “Ultimately, MIT's research could help develop robots for emergency response, helping the robot assess a person's actions to determine if they are injured or in danger,” King explains.