Prof. Marzyeh Ghassemi speaks with Boston Globe reporter Hiawatha Bray about her work uncovering issues with bias and trustworthiness in medical AI systems. “I love developing AI systems,” says Ghassemi. “I’m a professor at MIT for a reason. But it’s clear to me that naive deployments of these systems, that do not recognize the baggage that human data comes with, will lead to harm.”
In a video for CNN, graduate student Alex Kachkine explains his work developing a method using AI to create a reversible polymer film that could be used to restore damaged oil paintings, making the process faster than manual restoration. Kachkine explains that he hopes his work helps “get more paintings out of storage and into public view as there are many paintings that are damaged that I would love to see and it’s a real shame that there aren’t the resources necessary to restore them.”
Prof. Daniela Rus, director of CSAIL and “one of the world’s foremost thinkers on the intersection of machines and artificial intelligence,” shares her views on the promise of embodied intelligence, which would allow machines to adapt in real-time; the development of AI agents; and how the US can lead on the development of AI technologies with Aaron Mak of Politico. “The U.S. government has invested in energy grids, railroads and the internet. In the AI age, it must treat high-performance compute, data stewardship and model evaluation pipelines as public infrastructure as well,” Rus explains.
Graduate student Alex Kachkine speaks with New York Times reporter Ephrat Livni about his work creating a new AI technique for restoring paintings, and how his research on microchips helped inspire the development. Microchips “require very high degrees of precision,” Kachkine explains. “And it turns out a lot of the techniques we use to achieve that level of precision are applicable to art restoration.” Kachkine adds that he hopes conservators will be able to “leverage the benefits” of the techniques he gleaned from engineering to preserve “really valuable cultural heritage.”
Principal Research Scientist Andrew McAfee speaks with New York Times reporter Steve Lohr about why companies are not yet seeing the economic payoff of AI implementation in the workforce. “It’s not surprising that early A.I. efforts are falling short,” said McAfee. “Innovation is a process of failing fairly regularly.”
Prof. Philip Isola speaks with Fast Company reporter Victor Dey about the impact and use of agentic AI. “In some domains we truly have automatic verification that we can trust, like theorem proving in formal systems. In other domains, human judgment is still crucial,” says Isola. “If we use an AI as the critic for self-improvement, and if the AI is wrong, the system could go off the rails.”
Bloomberg reporter F. D. Flam spotlights postdoctoral associate Pat Pataranutaporn and his research exploring how AI technologies and chatbots can impact human memories. “This latest research should spur more discussion of the effects of technology on our grasp of reality, which can go beyond merely spreading misinformation,” writes Flam. “Social media algorithms also encourage people to embrace fringe ideas and conspiracy theories by creating the false impression of popularity and influence.”
Prof. Regina Barzilay speaks with Newsweek reporter Alexis Kayser about how new AI tools are implemented in health care settings. “You need to know how to safely bring it into the [health care] system," says Barzilay. "There is a new science, which is the science of implementation."
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.”
Prof. Andrew Lo speaks with NBC Boston reporter Daniela Gonzalez about how AI tools could be used as a starting point to help people manage their monthly expenses and improve their savings strategies. Lo notes that AI tools “can tell you, given the kind of things you're looking to purchase, where the various deals might be.” He added that “once you get the feedback, you have to make sure that what you're getting is legit, versus what they call hallucinations that large language models are likely to do on occasion.”
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.”
Researchers at MIT have uncovered a variety of obstacles of AI in software development, reports Rob Wile for NBC News. They have found “the main obstacles come when AI programs are asked to develop code at scale, or with more complex logic,” writes Wile.
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.