In the Media

A new paper co-authored by Prof. Anna Stansbury examines how socioeconomic differences can impact first-generation college students after graduation, writes Noam Scheiber for The New York Times. Stansbury and her colleagues found that having a parent with a graduate degree reflected a “generalized socioeconomic advantage.” Growing up affluent often “helps you learn how to read between the lines in certain situations, because you’ve been in similar kinds of situations,” Stansbury explains. 

Prof. Dylan Hadfield-Menell speaks to The Boston Globe’s Joshua Miller about his concerns with the current state of AI systems and how they are optimized. “The parts [of AI systems] that are imitating the ways that humans use language, those parts of the systems actually are quite correctable. They’re still pretty unpredictable, but they do seem quite flexible,” says Hadfield-Menell. “On the other hand, there’s reinforcement learning, task-focused behavior, that can often be quite sticky. They [AI systems] seem to really want to push towards task completion.” He adds: “If you have a powerful optimization-driven system pointed at some goal, it can often do a lot of unexpected things that can have a lot of impact.” 

The 2003 Cohn-Elkies method “for finding upper bounds on the density of sphere packings,” established by MIT Prof. Henry Cohn and Harvard University’s Noam Elkies, is highlighted by Jack Murtagh for the Scientific American. “Their recipe is almost mechanical: come up with a mathematical function, feed the function into their method, and an upper bound pops out,” writes Murtagh. “They provided the field with a machine: identify the right inputs, churn it through their method, and a breakthrough in sphere packing might emerge.” 

Prof. Gary Gensler joins CNBC’s “Squawk Box” to discuss the AI race and shares his suggestions for government regulations. “I do feel that there’s a need for more responsible regulation of artificial intelligence,” says Gensler. “These existential risks [conflicts of interest, explainability, and bias], however you measure them, are much harder to control because you’ve got the competition between Chinese model developers, [and] U.S. model developers.”  

Prof. Daniel Huttenlocher, dean of MIT’s Schwarzman College of Computing, joins Fox News’ “Fox and Friends” to discuss his views on the role of human responsibility in AI’s evolution. “With conventional software, when you program something, you give the machine precise instructions of what to do, so the humans developing it have a much more concrete understanding of what it can and can’t do,” says Huttenlocher. “With an AI system instead, it’s learned much more general skills and what you tell it to do is achieve some sort of a goal, but you don’t tell it the specific way it should achieve that goal. We can’t control it [AI] in the same ways that we control traditional software, but that doesn’t mean we shouldn’t control it and that we can’t control it, it’s just different.” 

Prof. Shafi Goldwasser and Prof. Vinod Vaikuntanathan founded the Institute for Responsible Superintelligence (RESI), “to develop mathematical principles and protocols to ensure AI models behave as intended,” writes Aaron Pressman for The Boston Globe. “You patch them [AI models] up, you test them, you patch them to make sure that they can perform to the best ability, but also not do damage,” says Goldwasser. “That’s probably not enough attention, given the fact that these things are going to become what we call super intelligent.” 

New York Times reporter Quinn Glabicki highlights Coastal Assembly, an MIT spinout that uses AI, satellite and ocean current data to monitor communities threatened by coastal erosion and create underwater structures to regrow beaches at nearly 900 coastal sites. “We can go to any community around the world and understand what has happened and then propose a solution that is very precisely tailored to them,” says Prof. Skylar Tibbits, one of Coastal Assembly’s founders.  

Members of MassLive’s “25 Most Influential Innovators of 2026” list, which includes President Sally Kornbluth and a number of other MIT faculty and alumni, gathered at the MIT Museum to “discuss the forces shaping the future of innovation in Massachusetts,” writes reporter Tréa Lavery. “MIT Provost Anantha Chandrakasan said about half of undergraduate students at the school are studying some form of computing, and enrollment in those courses has gone up in recent years, prompting professors and administrators to rethink how they incorporate AI into their teaching,” writes Lavery.  

Emily Knight, President and CEO of The Engine  will serve as Boston’s next economic development chief, “bringing life back to empty downtown office spaces, supporting neighborhood business districts and keeping young workers in Boston as the cost-of-living soars,” writes WBUR’s Eve Zuckoff. “I want to help companies start here and grow here while making sure the jobs and industries they create are felt in every neighborhood across the City,” says Knight.  

Mayor Michelle Wu has appointed Emily Knight, president and CEO of The Engine as Boston’s next economic development chief, writes Shirley Leung for The Boston Globe. “Real estate and economic development are so deeply connected that building those relationships is absolutely a priority for me,” says Knight.  

The MIT Sloan School of Management’s MBA program is ranked No. 1 in Quacquarelli Symonds’ 2027 list of Global MBA offerings, write reporters Louie Brand and Mustafa Mitashar. “U.S. business schools dominate the very top of the table,” note Brand and Mitashar. MIT Sloan “also leads employability with [a score of] 98.6.”  

Good Owners-dogGPT, a chatbot guide designed for dog parents that wasco-founded by alumni Darin Bellisario PhD ‘15 and Raja Rajcic ’20, is featured by The Boston Globe’s Marcela García. “What happens today when [dog owners] go looking for information? They go to Google,” says Bellisario. “You find dozens of videos and blog posts and articles that are either contradictory or outdated or inaccurate, or whatever the algorithm or the ranking wants to show you.” 

The Boston Globe’s Hiawatha Bray spotlights Prof. Max Tegmark speaking at the “Pro-Human Assembly” in Washington, an event advocating for government regulations on AI, sponsored by Tegmark’s Future of Life Institute. “We are here today because we know that what’s up next is a fork in the road,” said Tegmark at the assembly. “We know that the future of AI is not inevitable. It is for us to decide.”  

In his latest book, “Disposable Workers: The Transformation of Employment,” Prof. Emeritus Paul Osterman finds that 35% of the U.S. workforce is made up of disposable workers hired with the “implicit understanding that they won’t be around for long,” writes Fortune’s Nick Lichtenberg. Employers “do not invest in the great bulk of their workforce” in the way that they used to, says Osterman.  

MIT alumni Tom Brown ‘10, co-founder of Anthropic, and Edwin Chen ‘08, founder of Surge AI, are highlighted among the 10 youngest billionaires on the 2026 “Forbes 400 List,” by reporter Alicia Park. Brown “was lead author of the 2020 paper introducing GPT-3, the language model that demonstrated such systems could write fluently and triggered the current investment boom in artificial intelligence,” writes Park. Chen’s Surge AI, “employs people to label data, as well as rate and correct AI-generated answers to train models.”