Artificial intelligence

In an article for The Wall Street Journal, Prof. Daniel Huttenlocher, dean of MIT’s Schwarzman College of Computing writes that: “AI is an extremely powerful and beneficial technology. But accountability for its actions remains with the people and institutions that grant it the power to act, and so does everything that follows: the duty to justify the arrangement, to watch it, to correct it and to stop it when necessary.”  

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.”

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 “You find dozens of videos and blog posts and articles that are either contradictory or outdated or inaccurate, or whatever the algorithm or the ranking wants to show you.”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.”  

Members of the MIT community speak to Boston 25 News reporter Lisa Gresci about how they use AI, and their concerns with regulating the technology. Developers should consider, “how AI can help communities so [they are] not just building things, but are also deploying it [with purpose] out in the world,” says graduate student Anku Rani.  

Prof. John Sterman speaks with The Boston Globe Editorial Board about the potential impacts of AI on a variety of fields. The Editorial Board writes that Sterman sees “outcomes where AI can be harnessed to solve societal problems such as climate change, but, he said, first and foremost, that will take smarter government policies and incentives. A new simulator he helped develop, En-ROADS, allows users to explore AI’s potential impacts on climate change, positive and negative, depending on which path we choose.” 

MIT researchers found that users preferred to consult professionals over AI chatbots, except when they are feeling embarrassment or shame, writes Forbes’ Joe McKendrick. “When we seek advice from other people, we’re often reluctant to share embarrassing details because we have a fear of being judged,” the researchers write. “People are more likely to turn to AI models to get professional advice when they’re embarrassed, because the model doesn’t judge them.” 

Prof. Daron Acemoglu discusses the impact of AI models on jobs in an article by CNBC’s Trevor Laurence Jockims. “If AI continues to be developed as an automation technology, there will be more impacts. Right now, we don’t have many easy-to-use applications relevant for a large number of tasks/industries,” says Acemoglu. “Once these are developed, the labor market effects will be multiplied.”  

President Emeritus L. Rafael Reif joins Yahoo Finance’s Julie Hyman to discuss how new policies regarding student visas, coupled with cuts to federal funding for universities, are severely disrupting America’s innovation economy. “The whole innovation ecosystem we have in America has been the best since World War II and has created this tremendous economy for the country. A great deal of that economy has to do with federal funding of research, doing it in a nonpoliticized way, and having the best people come from other countries to America to study with us, and to learn with us,” says Reif. “All of that ecosystem is being affected, and that makes it very uncomfortable for the experts who came here, to be here, to study here, and to stay here.” 

Prof. Max Tegmark joins David Gura and Christina Ruffini, hosts of “Bloomberg This Weekend,” to discuss briefing the U.S Senate on regulating AI, in wake of recent reports of rogue agents. “I want to emphasize for anyone who gets stressed by this, that this dystopian future where we build smarter than human AIs and robots, super intelligence, and then they take over Earth, is not at all inevitable,” says Tegmark.  

Prof. Justin Solomon joins GBH’s “The Curiosity Desk" to explain the Navier-Stokes problem and the significance of this longstanding challenge being solved by an AI platform. “There are concerns and there’s excitement,” says Solomon. “Obviously, working on the Navier-Stokes equations and other open problems shows that these AI tools are capable of assisting with proofs, or at least counter examples in this particular case, of really hard questions that have been open for centuries.” 

Prof. Sherry Turkle speaks to Scientific American’s Brianne Kane about her forthcoming book, “Artificial Intimacy: Who We Become When We Talk to Machines.” “Social media got us into the attention economy, but chatbots are more toxic because they’re coming after the attachment economy,” says Turkle. “They’re coming after who you think you love, who you think you can count on, what you think empathy is.”  

MIT researchers are leading a new project documenting what major AI systems say about elections in an effort to understand how the technology influences the democratic process, writes Tiffany Hsu for The New York Times. “AI is becoming part of the way people encounter and make sense of political information, and yet we know relatively little about what that information environment actually looks like, how it differs for different user demographics, political identities and geographies,” says Prof. Chara Podimata, a leader of the project.  

In a Scientific American article by reporter Joseph Howlett, Prof. Naomi Sweeting discusses the potential pitfalls of consulting artificial intelligence in mathematics. “I view math as part of a vast and beautiful human project,” says Sweeting. “It's this huge endeavor that puts us in communication with thousands of years of human thinking.” 

Prof. Sherry Turkle’s latest book “Artificial Intimacy: Who We Become When We Talk to Machines,” is highlighted as one of the best new science books of September 2026 by New Scientist’s Liz Else. In her new book, Turkle explores how machines “are producing a generation more alienated, depressed and lonely than ever – and less equipped to reverse course, as machine relationships offer no practice for getting along with people,” writes Else.