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.”
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.
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.
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.
A new paper co-authored by Prof. David Rand shows that people are more likely to buy solar panels if the salesperson actually uses them. Study participants believed the salesperson’s personal behavior “was a stronger signifier of their beliefs than any sales pitch, no matter how sincere,” reports Tarpley Hitt for The Daily Beast.
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 alumni Aman Narang and Steve Fredette speak with NECN’s Brian Burnell about their startup Toast, which provides cloud-based, restaurant management software. Narang explains that Toast was created to replace outdated restaurant technology and “build something from the ground up that could connect their diners, their guests, their employees, and make the restauranteur’s life more efficient.”
Researchers from MIT are using the brittle nature of graphene to mass produce cell-sized robots, writes David Grossman of Popular Mechanics. Called “syncells” or synthetic cells, the researchers hope they can be used in biomedical testing. “Inject hundreds into the bloodstreams and let the data fly back into sensors,” explains Grossman.
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.
Boston Herald reporter John Connolly spotlights the MIT football team, which is undefeated thus far this season. “We have 75 MIT football players. They’re smart. They don’t need us to tell them what to do,” explains coach Brian Bubna. “I’ve been here since 2010 and we’re moving in the right direction.”
MIT researchers have made electrical recordings of individual brain cells, which may provide insight into human intelligence, reports Hannah Osborne of Newsweek. Researchers discovered that human cells have fewer ion channels, which allow electrical currents to enter and exit cells, potentially increasing “the resistance of human dendrites, making the cell better at processing information,” explains Osborne.
MIT was ranked the number one college in the nation by WalletHub, reports WHDH-TV. WHDH notes that “MIT had the highest return of educational investment, along with the highest post-attendance median salary, according to the study.”
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.”