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.
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.
Prof. Asu Ozdaglar, Deputy Dean of MIT Schwarzman College of Computing, speaks with Is Business Broken? podcast host Curt Nickish to explore AI’s opportunities and risks — and whether it can be regulated without stifling progress. “AI is a very promising and transformative technology,” says Ozdaglar. “But regulation should be designed very carefully so that it does not block or impede the development of the technology.” Given AI’s potential harms or misuses, she added that it's important to think about the correct regulatory framework. “For it to be successful, it should focus on where harms can come from.”
A new research paper by Prof. David Autor and Principal Research Scientist Neil Thompson explores the forthcoming impact of AI on jobs, reports Tim Harford for Financial Times. “[W]hile there are few certainties, Autor and Thompson’s framework does suggest a clarifying question: does AI look like it is going to do the most highly skilled part of your job or the low-skill rump that you’ve not been able to get rid of?,” writes Harford. “The answer to that question may help to predict whether your job is about to get more fun or more annoying — and whether your salary is likely to rise, or fall as your expert work is devalued like the expert work of the Luddites.”