Prof. Emeritus Kerry Emanuel speaks to The New York Times’ William J. Broad about the use of AI models in predicting hurricanes. “It’s human beings who have to make these calls,” says Emanuel. “[Eventually] AI will be treated as just another form of guidance” along with satellite images and readings from hurricane hunter aircraft that pierce the tempests.
Sloan Senior Lecturer Paul Cheek’s new book, “No One Works Here” is outlined by Forbes’ Joe McKendrick. “The companies that are most likely to fall behind their peers are the ones that insist on keeping a human in the loop for decisions that a machine could have made yesterday,” Cheek writes in his book.
A 2025 report by MIT researchers found that 62% of accounting professionals worry about errors in AI generated outputs, writes Thomson Reuters. “AI is doing real, meaningful work in tax workflows right now with even greater capabilities coming. But it’s also generating real anxiety,” Thomson Reuters notes.
Inside Higher Ed’s Emma Whitford spotlights a new report by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training that offers recommendations for how AI should be used in education. “Learning works when it’s both challenging and social; knowledge is built through cognitive friction, whether that’s disentangling the steps of a mathematical proof with your study group, adjusting an experiment over and over until it works, or having a spirited argument with a peer (rather than getting ‘the’ answer from AI),” the committee writes.
Prof. Anna Stansbury speaks to the Financial Times’ Myles McCormick about a new study that found that chief executives at America’s largest low-wage employers had seen their pay rise 41 percent between 2019 and 2025, while the median worker earned 21 percent more income. “There’s been for several decades a shift in the balance of power from labor to capital in the US,” says Stansbury. “It seems unlikely that what’s happening now...can be used to infer a big secular shift in power beyond the ongoing steady trend that we’ve been seeing for a long time.”
President Sally Kornbluth and Governor Maura Healey will kick off the festivities at MIT’s inaugural Future Fest, which aims to bring “together leaders across higher education, government and tech to explore the future of science, technology, art and design across MIT's campus for five days,” writes the Boston Business Journal’s Stephen MacLeod.
Prof. David Kaiser writes for Undark about how the new regulations placed on student visas are a detriment to our national competitiveness. "For decades, the U.S. has prospered from a 'brain gain,' attracting talented students from around the world. Graduate students who entered the U.S. on student visas,” writes Kaiser, "have bolstered the American economy.” He adds: "the research phase of a Ph.D. requires students to move beyond known material and to produce something new — to push past what today’s textbooks already include. That sort of innovation rarely happens overnight. The benefits, however, can shape generations.”
MIT researchers found that unless an individual is affected by stroke or dementia, their ability to process language does not decline with age, writes Health Day’s Dennis Thompson. “Scans show that activity in the brain’s language processing network is nearly identical among seniors to that found in younger adults,” writes Thompson. “These results indicate that parts of the brain dedicated to unique functions like language might be less prone to age-related decline than general-purpose networks that contribute to many different skills.”
Prof. Daniela Rus, Director of MIT CSAIL, and Prof. David Autor, department head of Economics, are featured on Time’s “TIME100 AI 2026” list of 100 innovators, leaders, and thinkers reshaping the world through their advances in AI. “Over three decades, [Rus] has conducted pioneering work in robotics, extending the understanding of what form robots can take,” writes Tharin Pillay, while Steven Freiss describes Autor as “one of the nation’s most vocal and prominent economists aiming to ascertain AI’s potential impacts on labor.”
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 researchers found that purchased AI tools succeed roughly twice as often as comparable in-house builds, Forbes’ Dennis Vorobyov highlights. “[S]o spend the engineering effort where you are genuinely differentiated,” writes Vorobyov. “Budget wise, none of this requires a moonshot, just clarity and sequencing.”
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.”
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.”
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.”
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.”