Technology and society

MIT researchers have found that lower birth rates are associated with higher growth in Gross Domestic Product globally, writes The Atlantic’s Idrees Kahloon. “[P]erhaps more important than the observed correlation is the authors’ proposed explanation: that when prime-age workers become scarce, companies adapt by developing productivity-boosting technology,” notes Kahloon.  

MIT researchers found the more data an AI model is trained on could complicate AI copyright, auditing, and governance, writes Computer World’s Taryn Plumb. “[S]ingle artworks by specific artists, or photographs of certain people, could be entirely removed from datasets, and the model could still reproduce that image or style,” writes Plumb. “Essentially, tangible connections are lost, and linking to specific data points responsible for generated samples is ‘practically impossible,’ or can even vanish, the researchers explained.” 

Prof. Max Tegmark joins Steve Clemons, host of Al Jazeerah’s, “The Bottom Line,” to discuss regulating AI. “Normally with technology we have a problem we want to solve: cure cancer, be able to get faster from point A to point B, and then we develop technology to meet those needs, to solve those problems—and that’s how we should deal with AI also,” says Tegmark. “We should look at what we would like to have accomplished in our society and then companies can sell products that solve those problems without causing a bunch of harm.” 

VICE’s Luis Prada spotlights Prof. Tristan Brown’s discovery that a Chinese tea label on display as a Boston Tea Party artifact at Boston’s Old South Meeting House was actually created during the 19th century. After Brown translated the label from Cantonese, it “revealed an American name, 'Smith, Archer,' as it identified Smith, Archer and Co., a New York trading firm active in East Asia during the 1860s and 1870s,” writes Prada. 

MIT researchers found that contrary to popular assumptions, lower birth rates have raised rather than lowered the Gross Domestic Product globally, writes The Dispatch’s Eli Kronenberg. “Across the board, we found that these lower birth rates were leading to a faster pace of technological adoption and progress,” says graduate student Keelan Beirne, a co-author on the paper. 

Gizmodo’s Gayoung Lee describes how Prof. Tristan Brown found that a tea chest label, on originally thought to be an artifact of the Boston Tea Party, actually originated from 19th century trade between China and America. “The discovery doesn’t diminish the label; it replaces one story with a richer one,” says Brown. “That broader story, of how revolutionary memory gets made through objects whose own histories stretch across the globe, is what I hope the paper contributes to ongoing conversations about history, material culture, and American identity.” 

Prof. Tristan Brown discovered that a tea label previously thought to be salvaged from the Boston Tea Party in 1773 actually dates back to the 19th century, writes Smithsonian Magazine’s Ryley Graham. “The artifact’s true origin came to light when Brown took a closer look at the Chinese text on the label...When read in Cantonese, Brown found that the phonetic characters yielded the words 'Smith, Archer,' a reference to Smith, Archer & Co, an American import-export company that shipped teas from East Asia to the United States in the 19th century, nearly a century after revolutionaries dumped British tea into Boston Harbor.” 

Prof. Danielle Wood joins Edgar B. Herwick III, host of GBH’s “The Curiosity Desk,” to discuss the growing problems posed by space junk, and how space technology helps support our critical infrastructure. “Technology from space helps make life safer on Earth, supports our weather forecasting [and] our daily transportation. All the technology that lets us get deliveries and Uber—that's all coming from space,” says Wood. “We definitely need space to be safe—to keep our lives safe.” 

Prof. Jackson Lu speaks to Fast Company’s Sarah Bregel about metacognitive techniques, tuning into one’s thinking and learning process, to use AI more creatively. “Even the most powerful AI won’t boost creativity if employees don’t know how to use it effectively,” says Lu. “Organizations should pair AI deployment with metacognition training to maximize the creative benefits.” 

Mel Robbins visits the MIT AgeLab and tries out the lab’s Age Gain Now Empathy System (AGNES) suit, which is designed to help wearers experience the challenges associated with aging. “When we think about aging, most people don’t really have a definition of it. They think about it as a number of birthdays—that's older,” says Joseph Coughlin, AgeLab director. “Actually, aging is about diminishing capacity over time. So weightlifting is increasing your capacity—you're pushing out the clock. Learning something new keeps you cognitively well.” 

Principal Research Scientist John Liu speaks to Manufacturing Dive’s Nathan Owens about MIT’s Technologist Advanced Manufacturing Program (TechAMP), a 12-month-long certificate program designed to "bring experienced technicians into leadership roles with a focus on advanced manufacturing needs.” Says Liu: "We’re looking at developing this elite workforce who bridges the gap. What we’re trying to do is upskill the technician.” 

Prof. Alessandro Acquisti speaks with NPR’s Scott Neuman about privacy issues related to surveillance by autonomous vehicle (AV) companies. “There already exist laws that govern duty to report or even duty to protect [for AV companies],” Acquisti says. “The privacy problems arise when and if driverless carrier companies used such laws or ethical obligations as a pretext for blanket, indiscriminate accumulation of identifiable data for unspecified future purposes.” 

Prof. Jinhua Zhao takes a car ride through Boston with GBH “Curiosity Desk” host Edgar B. Herwick II to discuss the concerns and benefits of self-driving technology entering the city. “We pay a lot of attention to how good AV [Autonomous Vehicle] safety needs to be, but it’s important for us to understand how bad we have been—the current system is [bad],” says Zhao. “When human drivers are aggressive, they actually indeed pose a challenge on AV—which is that AV needs to learn how to be assertive. If you’re too conservative, you’ll just be stuck there going nowhere.”