Smithsonian reporter Randy Rieland writes that MIT researchers have developed a machine learning model that can detect speech and language patterns associated with depression. The researchers note that the system is intended to assist, not replace clinicians. “We’re hopeful we can provide a complementary form of analysis,” explains Senior Research Scientist James Glass.
Boston Globe reporter Katie Johnston speaks with several MIT researchers about their work developing technology that is aimed at improving collaboration between humans and robots. Prof. Julie Shah notes that offloading easier decisions onto a machine “would allow people to focus on the parts of job that truly require human judgment and experience.”
Motherboard reporter Daniel Oberhaus writes that MIT researchers have developed an AI system that can generate theories about the physical laws of imaginary universes. Oberhaus writes that in the future the system could be used to help understand “massively complex datasets, such as those used in climate modeling or economics.”
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.
MIT researchers have developed a language translation model that operates without human annotations and guidance, reports Liangyu for Xinhua news agency. The system, which may enable computer-based translations of the thousands of languages spoken worldwide, is “a step toward one of the major goals of machine translation, which is fully unsupervised word alignment,” Liangyu explains.
Graduate students Ziv Epstein and Matt Groh have developed an AI system that adds spooky figures to photos, reports Mark Wilson for Fast Company. Wilson writes that the system “works so well because it places ghostly figures exactly where your brain naturally thinks they could be–on a path in the middle of a forest, rather than, say, floating randomly through the air.”
BBC News highlights how Media Lab researchers have built a software program that allows web users to suggest actions for a hired actor to perform. Researchers are “keen to see whether internet users can work together to issue a consistent series of commands to the actor that help complete the game, or whether the commands will be discordant.”
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.”
MIT researchers conducted a global survey to determine how people felt about the ethical dilemmas presented by autonomous vehicles, The Economist reports. Prof. Iyad Rahwan explains that he and his colleagues thought it was important to survey people from around the world as “nobody was really investigating what regular people thought about this topic.”
Popular Mechanics reporter Dave Grossman writes that MIT researchers surveyed more than 2 million people to gauge people’s opinions on the ethics of autonomous vehicles. Grossman explains that the researchers believe their findings demonstrate how “people across the globe are eager to participate in the debate around self-driving cars and want to see algorithms that reflect their personal beliefs.”
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.
A new paper by MIT researchers details the results of a survey on an online platform they developed, which asked respondents to make ethical decisions about fictional self-driving car crashes. “Millions of users from 233 countries and territories took the quiz, making 40 million ethical decisions in total,” writes James Vincent of The Verge.
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.”