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.”
MIT students, who were disappointed by articles depicting AI as a fast-approaching threat, are training AI to create new ideas in fashion, food, art, and dance that are then created by humans, writes Kaveh Waddell of Axios. MIT postdoc Pinar Yanardag, the project founder, envisions a future where humans work with AI to boost their creativity.
Fortune reporter Aaron Pressman highlights how Prof. Julie Shah is working on making human-robot collaboration on the assembly line more effective through the use of collaborative robots, dubbed cobots. Pressman writes that Shah “is working on software algorithms developed with machine learning that will teach cobots how and when to communicate by reading signals from the humans around them.”
Popular Science reporter Rob Verger highlights how an MIT spinout and MIT researchers are developing tools to detect depression. “The big vision is that you have a system that can digest organic, natural conversations, and interactions, and be able to make some conclusion about a person’s well-being,” says grad student Tuka Alhanai.
MIT’s new college of computing represents the Institute’s “first fundamental restructuring in nearly 70 years,” writes Kaveh Wadell of Axios. The college is intended to connect parts of the Institute that have been “siloed from MIT's technology focus” and encourage students “to develop ‘bilingual’ skills: that is, to study computing and another discipline together.”