Technology and society

MassLive’s Juliet Schulman-Hall covers a new report from the MIT Ad Hoc Committee on AI Use in Teaching, Learning and Research Training about AI and education at MIT. “It’s rare that a successful institution has to take a fresh look at many aspects of its mission,” said President Sally Kornbluth in a letter to the community. “But I’m convinced that the opportunities and risks generative AI poses for our model of education and research now constitute such a watershed for MIT — and for all of higher education.” 

Writing for Forbes, Joseph Coughlin, Director of the MIT AgeLab, describes the importance of considering home security beyond simple intrusion protection in longevity planning. “A longevity-ready home to age-in-place isn't simply a safer, more accessible home,” writes Coughlin. “It is a home surrounded by an architecture of people, technology, and services that can detect, communicate, and respond even when we, or the people who care about us, cannot.” 

MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training has released a report on AI and education and recommendations for the Institute moving forward, writes Forbes’ Ron Schmelzer. “President Sally Kornbluth describes the moment as a ‘watershed’ for MIT and higher education,” writes Schmelzer. “The recommendations include redesigned assessments, renewed attention to hands-on learning, explicit AI rules for courses and new communities of practice for faculty.”

A new study by MIT researchers found that it is impossible to draw a direct link between AI diffusion model outputs and an artist’s body of work, writes Gizmodo’s Webb Wright. “If a [diffusion] model generates something, you want to be able to say, ‘Oh, this part of the training data was responsible,'” says Zheng Dai, PhD ’24, lead author on the study. “It’s important for us to understand how these models work to properly study them or regulate them.” 

In a message to campus, President Sally Kornbluth shared a new report by MIT’s Ad Hoc Committee on AI Use that found that “even as AI accelerates and expands discoveries,  it is also driving dramatic changes in campus culture, upending foundational experiences such as study groups, office hours and undergraduate research,” writes the Washington Post’s Susan Svrluga. “For the sake of our students, for the future of MIT and for the shape of our sector and our society,” says Kornbluth, “it’s imperative that we get this right.” 

Prof. David Gifford and Zheng Dai PhD ’24 discovered that AI diffusion models can replicate the style of an artist even when their work was omitted from datasets, leading to ‘attribution decay,’ writes Fast Company’s Jesus Diaz. “This trend, what the researchers call ‘attribution decay,’ means that artificial intelligence can produce an image that resembles a particular artist’s work, while having no provable causal link to that artist’s actual contribution to the training data,” explains Diaz.  

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.”