Boston.com’s Elizabeth Mehler spotlights an AI-powered flood predictor and disaster response tool built by Arush Shangari, an MIT Beaver Works Research Scholar. “Through MIT Beaver Works and MIT CSAIL, I taught myself artificial intelligence and time-series forecasting,” says Shangari. “There was a lot of that error analysis and just learning in general.”
In a study of developers using GitHub Copilot, MIT researchers found AI shifted time away from teamwork and toward coding, writes Forbes’ Sarah Davis. “If AI reduces the need to ask colleagues for help and advice, workplaces become the mechanism for creating human interactions that promote connection and knowledge sharing,” writes Davis.
The New York Times’ Dana Goldstein highlights an MIT study that found individuals who used AI for writing assistance recorded lower brain activity than those who worked without LLMs. “The writers who used AI struggled to remember what, exactly, they had written, and felt little ownership over their work,” writes Goldstein. “The findings join a growing body of research suggesting that frequent AI use can degrade critical thinking.”
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.”
Prof. Daron Acemoglu discusses how issues with AI and social media inform his new book, “What Happened to Liberal Democracy?” in an article by Fortune’s Nick Lichtenberg. “We live in an environment that’s been partly shaped by social media, and there is a tendency to escalate everything, because that gets attention,” says Acemoglu. “Politics is like that. The other topic like that, unfortunately, is AI.”
Financial Times reporter Martin Wolf spotlights Institute Prof. Daron Acemoglu’s latest book, “What Happened to Liberal Democracy?”, which he notes is "timely and thought-provoking,” and "an important call to arms.” In the book, Acemoglu explores his "grand idea of ‘working-class liberalism,’” writes Wolf. “This concept, he states, is built on experimentation and the freedoms of association and expression, is suspicious of excessive power, uses redistribution, allows the less fortunate to participate more fully, values growth, attempts to provide good jobs for everybody and values community, trust and the sharing of useful knowledge.”
In an article about AI’s impact on the job market, The Guardian’s Varsha Bansal highlights Prof. Paul Osterman’s new book, “Disposable Workers: The Transformation of Employment.” Bansal writes: “About 35% of the US workforce is already considered easily replaceable, according to his [Osterman’s] research. AI will only exacerbate this, he said. But not all jobs are in the same boat, and neither are their options for adapting, said MIT’s Osterman.”
Forbes’ “50 Over 50” list spotlights four MIT faculty leading innovation in science and technology: Prof. Paula Hammond, dean of the MIT School of Engineering; Prof. Dina Katabi; Prof. Nergis Mavalvala, dean of the MIT School of Science; and Aude Oliva, director of MIT-IBM Computing Research Lab. The 50 “science and technology standouts on this list are advancing how we use AI, fight osteoporosis and deploy clean energy.”
Researchers from the Media Lab developed MemPal, a wearable camera that creates a real-time automated text diary of actions and conversations to help older adults locate objects and provide reminders, writes WBUR’s Mike Kalin. “A small study conducted last year by researchers at the MIT Media Lab confirmed improved performance of object finding among users and an overall positive perception of the system. Tools like MemPal could be essential as cases of dementia continue to proliferate,” writes Kalin.
Prof. Paul Osterman speaks to Forbes’ Courtney Connley-Hampton about his new book “Disposable Workers: The Transformation of Employment,” and how AI may exacerbate the disposable worker trend. “Your only source of power in the labor market is your human capital, your skill,” says Osterman. “Get as much skill as you can. You may end up having to change jobs and move around, but if you have valuable skills, that protects you.”
Associate Prof. Taha Choukhmane speaks to Associated Press reporter Adriana Morga about explores the growing trend of consumers using AI for financial guidance, and his recommendation that AI be used as a tool in combination with other trusted sources. “I would encourage people to use AI to explain and define,” says Choukhmane. “If you’re interested in knowing what the stock market is, what the difference between a mutual fund and an index fund is, using AI to explain these concepts can be very useful because it can empower people to get the most out of these methods.”
In a Los Angeles Times opinion piece, Prof. Carlo Ratti and contributor Mario Carpo make the case that AI is built to imitate human creativity and is less capable of original design. “In a profession that defines itself through invention, GenAI increasingly is seen less as a creative genius and more as a ‘stochastic parrot’ — a term introduced in 2021 by leading AI researchers to describe a technology that learns to repeat the most likely sequences found in whatever data it’s been shown,” write Ratti and Carpo.
Upworthy’s Tod Perry outlines five key takeaways from “How to Speak,” a popular lecture on the art of public speaking given annually for MIT students for 40 years by the late Prof. Patrick Winston, which is now available to watch on MIT OpenCourseware. “I always finish [ a speech] with a joke, and that way, people think they’ve had fun the whole time,” quipped Winston in his lecture.
Prof. Joshua Tenenbaum discusses whether AI systems will perform better if they have increased awareness of the world around them with New Scientist’s Daniel Cossins. “One of the big misconceptions is that intelligence is a single thing, that there is a single world model in the brain,” says Tenenbaum. “What we actually have is the ability to run many different models depending on the context, task and goal.”
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.”