Vijay Gadepally, senior staff member at MIT Lincoln Lab, speaks with New York Times reporter Claire Brown about the impact of AI data centers on the electrical grid. “There’s a lot of things we can do to be better stewards of the power we currently have,” says Gadepally.
A working paper by MIT researchers has found “that the most successful generative AI deployments consistently involve frontline workers from the earliest stages through rollout,” reports Sharon Wu for USA Today. The researchers “demonstrate that when employees help define the problem, co-design workflows, experiment with tools, and shape fair transition policies, not only does adoption improve, but worker productivity and job quality also rise.”
Writing for Physics Today, Prof. Camilla Cattania and her colleagues highlight the impact of big data and AI advancements in improving the reliability of earthquake forecasting and prediction. “Advances in technology and data analysis, particularly the incorporation of AI techniques, are driving the development of more-sophisticated forecasting models,” they write. “Advances in sensor technology and the expansion of dense seismic networks are providing new insight into the dynamics of Earth’s crust. That wealth of data enables the creation of more detailed and nuanced forecasting models that better capture the complexities of earthquake processes.”
A study by researchers at MIT has found that “pedestrians are walking 15 percent faster and stopping to linger 14 percent less than they used to,” reports Rima Sabina Aouf for Dezeen. “Using computer vision and artificial intelligence to analyze videos of four public spaces across three American cities, the study found that walking speeds rose notably between 1980 and 2010, while instances of people lingering or interacting with others fell,” writes Aouf.
Researchers at MIT have found that “pedestrians in three major northeastern U.S. cities – Boston, New York and Philadelphia —are moving 15 percent faster than they did in 1980,” reports Lucy Notarantonio for Newsweek. Notarantonio explains that: “The researchers hope their work will inform how cities design and redesign public areas — especially at a time when digital polarization is reshaping how people connect in real life.”
Prof. Andrew Lo speaks with Bloomberg reporter Lu Wang about how AI tools could be applied to the financial services industry, working alongside humans to help manage money, balance risk, tailor strategies and possibly even act in a client’s best interest. “I believe that within the next five years we’re going to see a revolution in how humans interact with AI,” says Lo. He adds that “the financial services industry has extra layers of protection that needs to be built before these tools can be useful.”
Writing for Forbes, Joseph Coughlin, director of the MIT AgeLab, explores the role of technology in the lives of retirees. “The AgeTech revolution is real. The technology that is coming is astonishing. But it risks stalling not because the tech isn’t good, but because no one is there to plug it in, literally and figuratively,” writes Coughlin. “Because in retirement living, the real innovation isn’t a gadget or form of artificial intelligence. The next big thing is trusted, human-centered service.”
Prof. Emeritus Donald Sadoway speaks with Forbes reporter Neil Winton about the development of solid-state batteries and the future of electric vehicles. “Yes, in 2035 the U.S. the automobile market will be roughly the same as today, but by then the massive demand for electricity from computers, AI and EVs will combine to demand more electricity than the grid can supply,” says Sadoway.
Rizwan Virk '92 speaks with Boston Globe reporter Brian Bergstein about his book “The Simulation Hypothesis: An MIT Computer Scientist Shows Why AI, Quantum Physics, and Eastern Mystics All Agree We Are in a Video Game.” Bergstein writes: “The book came out in 2019, but an updated version is being released this week to account for developments in artificial intelligence and quantum computing.”
Prof. Sherry Turkle speaks with NPR’s Ted Radio Hour host Manoush Zomorodi about her research on the impact of AI usage on people’s relationships with their technology. “You know, we built this tool, and it's making and shaping and changing us,” says Turkle. “There is no such thing as just a tool. And looking back, I think I did capture the new thing that was happening to people's psychologies, really because of my method, which was just to listen to people. And I think that my work was not esoteric in the sense that it spoke directly to those feelings of disorientation. The culture had met something uncanny, and I tried to really speak to that feeling.”
In his new book, “The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence,” Prof. Benjamin Mangrum explores how comedy can be a useful tool in a world “increasingly shaped by algorithms, automation, and artificial intelligence,” reports Ed Publica. “As we move deeper into an era of smart machines, digital identities, and algorithmic decision-making, Mangrum’s book reminds us that a well-placed joke might still be one of our most human responses,” they write.
Prof. David Autor speaks with ABC News reporter Max Zahn about how AI will affect the job market. "We're not good at predicting what the new work will be; we're good at predicting how current work will change," says Autor.
A study by MIT researchers has found “our behavior is often more predictable than we think,” reports Diane Hamilton for Forbes. “This research focused on how people pay attention in complex situations,” explains Hamilton. “The AI model learned what people remembered and what they ignored. It identified patterns in memory and focus.”
Prof. Danielle Li speaks with New York Times reporter Noam Scheiber about the various impacts of AI in the workplace on employees. “That state of the world is not good for experienced workers,” says Li. “You’re being paid for the rarity of your skill, and what happens is that A.I. allows the skill to live outside of people.”
Forbes reporter Eric Wood spotlights various studies by MIT researchers exploring the impact of ChatGPT use on behavior and the brain. “As stated, the impact of AI assistants is likely dependent on the users, but since AI assistants are becoming normative, it’s time for counseling centers to assess for maladaptive uses of AI, while also promoting the possible benefits,” explains Wood.