Writing for The Washington Post, research scientist Ashley Nunes examines GM’s announcement that it will eliminate thousands of jobs and halt production at several plants in North America. Nunes writes that, “Given the hurdles, political and otherwise, facing electric and autonomous vehicles, some may question the wisdom of GM’s recent announcement.”
Prof. John Sterman speaks with Marco Werman of PRI’s The World about the future of the American car market. According to Sterman, “the U.S. still has the opportunity, if the federal policies were aligned with our long-term interests, to have a major role in the new car and transportation and mobility industry that’s taking shape.”
Katharine Schwab of Fast Company writes about the Media Lab’s Moral Machine project, which surveyed people about their feelings on the ethical dilemmas posed by driverless vehicles. Because the results vary based on region and economic inequality, the researchers believe “self-driving car makers and politicians will need to take all of these variations into account when formulating decision-making systems and building regulations,” Schwab notes.
Lucas Laursen writes for Fortune that a global survey created by MIT researchers uncovered different regional attitudes about how autonomous vehicles should handle unavoidable collisions. Global carmakers, Laursen writes, “will need to use the findings at the very least to adapt how they sell their increasingly autonomous cars, if not how the cars actually operate.”
MIT researchers created an online game to determine how people around the world think autonomous vehicles should handle moral dilemmas, reports Laurel Wamsley for NPR. “Before we allow our cars to make ethical decisions, we need to have a global conversation to express our preferences to the companies that will design moral algorithms,” the researchers explain, “and to the policymakers that will regulate them.”
BBC News reporter Chris Fox writes that MIT researchers surveyed people about how an autonomous vehicle should operate when presented with different ethical dilemmas. Fox explains that the researchers hope their findings will “spark a ‘global conversation’ about the moral decisions self-driving vehicles will have to make.”
The results of the Media Lab’s “Moral Machine” survey provides a glimpse into how people will respond to the ethical dilemmas surrounding autonomous vehicle accidents. “The point here, the researchers say, is to initiate a conversation about ethics in technology, and to guide those who will eventually make the big decisions about AV morality,” writes Wired’s Aarian Marshall.
Using an online platform known as the “Moral Machine,” researchers at the Media Lab have surveyed more than two million people from 233 countries about how an autonomous vehicle should respond in a crash. “The Moral Machine game is similar to the infamous trolley problem,” writes Tracey Lindeman for Motherboard, “but calibrated for the autonomous car.”
A new study from Media Lab researchers highlights the result of an online survey that asked volunteers how a self-driving vehicle should respond to a variety of potential accidents. “Moral responses to unavoidable damage vary greatly around the world in a way that poses a big challenge for companies planning to build driverless cars,” writes Alex Hern in The Guardian.
Carolyn Johnson writes for The Washington Post about a new MIT study “that asked people how a self-driving car should respond when faced with a variety of extreme trade-offs.” According to Prof. Iyad Rahwan, “regulating AI will be different from traditional products, because the machines will have autonomy and the ability to adapt,” explains Johnson.
MIT researchers used an online platform known as the “Moral Machine” to gauge how humans respond to ethical decisions made by artificial intelligence, reports Jamie Leventhal for PBS NewsHour. According to postdoc Edmond Awad, two goals of the platform were to foster discussion and “quantitatively [measure] people’s cultural preferences.”
Axios reporter Joann Muller spotlights Rivian, an electric-vehicle startup founded by MIT graduate RJ Scaringe. “If Rivian succeeds, the sharing of its technology could be one of the biggest reasons,” writes Muller. “Imagine companies like Amazon, Starbucks or Apple launching their own mobility fleets on top of a generic platform.”
MIT spinout Affectiva Inc. has developed a new system that can study a driver’s face to help assess their mental state, reports Hiawatha Bray for The Boston Globe. Bray explains that the system “analyzes facial expressions to determine if a driver is distracted, angry, scared, sleepy, or drunk.”
Prof. John Leonard speaks with Bloomberg News about his work with the Toyota Research Institute on developing a system that combines machine learning technologies and sensors to make vehicles safer. “Imagine if you had the most vigilant and capably trained driver in the world that could take over in a situation where a teenager took a curve too fast,” says Leonard of the inspiration for the system.
Jeremy Gregory, executive director of the MIT Concrete Sustainability Hub, writes for USA Today about how the quality and condition of a roadway impacts a vehicle’s fuel use and greenhouse gas emissions. “Actions that improve road design and conditions can reduce vehicle fuel consumption and emissions,” argues Gregory.