Prof. Rafael Gómez-Bombarelli speaks with The Atlantic reporter Matteo Wong about the current state of artificial intelligence technologies and how the technology might be used in medical care going forward. “Scientists use the tools that are out there for information processing and summarization,” says Gómez-Bombarelli. “Everybody does that; that’s an established win.”
Prof. Sherry Turkle speaks with New York Times reporter Sopan Deb about how humans interact with artificial intelligence, specifically chatbots such as ChatGPT. “If an object is alive enough for us to start having intimate conversations, friendly conversations, treating it as a really important person in our lives, even though it’s not, it’s alive enough for us to show courtesy to,” says Turkle.
Prof. David Autor speaks with Financial Times reporter Martin Wolf about the impact of AI on the workforce. “I think [AI] will be quite important, it will be pervasive, it will be transformative in some activities, but I don’t think in general, it’s going to cause an economic implosion of work anytime in the near future,” explains Autor.
Forbes reporter Cornelia Walther spotlights innovators from MIT Solve’s climate solver teams, which “underscore the power of AI as a catalyst for transforming change across diverse sectors.” The teams illustrate “that when carefully designed and applied, AI can deliver substantial benefits for the environment — improving operational efficiency, cutting waste and even supporting social equity,” writes Walther.
Forbes contributor Tracey Follows spotlights how MIT Media Lab researchers are exploring how AI can “support, rather than replace, human flourishing” as part of the Media Lab’s new Advancing Humans with AI (AHA) research program. “We are creating AI and AI in turn will shape us. We don’t want to make the same mistakes we made with social media,” says Prof. Patti Maes. “It is critical that we think of AI as not just a technical problem for engineers and entrepreneurs to solve, but also as a human design problem, requiring the expertise from human-computer interaction designers, psychologists, and social scientists for AI to lead to beneficial impact on the human experience.”
Speaking with Wall Street Journal reporter Justin Lahart, Prof. Sendhil Mullainathan makes the case that people have a choice about what kind of technology AI becomes. “People imagine that AI is going to automate things, but they don’t appreciate that automation is just one path. There’s nothing intrinsic about machine learning or AI that puts us on that path. The other path is really the path of augmentation,” says Mullainathan. “Whether we end up building things that replace us, or things that enhance our capacities, that is something that we can influence.”
Forbes reporter Tracey Follows spotlights the MIT Media Lab’s Advancing Humans with AI (AHA) project, a “new research program asking how can we design AI to support human flourishing.” At the launch event, Prof. Sherry Turkle “raised a specific and timely concern: what is the human cost of talking to machines that only pretend to care?”
Researchers at MIT have concluded that AI does not develop “value systems” over time, reports Kyle Wiggers for TechCrunch. “For me, my biggest takeaway from doing all this research is to now have an understanding of models as not really being systems that have some sort of stable, coherent set of beliefs and preferences,” says graduate student Stephen Casper. “Instead, they are imitators deep down who do all sorts of confabulation and say all sorts of frivolous things.”
Graduate students Chuck Downing and Zhichu Ren PhD '24 highlight the potential uses of AI in the research process, reports Amanda Heidt for Nature. “I didn’t know much going in, but I learnt quite a bit, and so I use these deep dives all the time now,” says Downing on using deep-research tools when approaching unfamiliar topics. “It’s better than anything else I’ve used so far at finding good papers and in presenting the information in a way that I can easily understand.”
Prof. Pulkit Agrawal speaks with NPR Short Wave host Regina Barber and science correspondent Geoff Brumfiel about his work developing a new technique that allows robots to train in simulations of scanned home environments. “The power of simulation is that we can collect very large amounts of data,” explains Agrawal. “For example, in three hours' worth of simulation, we can collect 100 days' worth of data.”
Prof. David Sontag, Monica Agrawal PhD '23, Luke Murray SM '22, and Divya Gopinath '19, MEng '20 co-founded Layer Health - an AI healthcare startup that is applying large language models (LLMs) to help clinicians with medical chart reviews and data abstraction, reports Seth Joseph for Forbes. “The same chart review problem we’re solving with our clinical registry module is faced by clinicians at the point of care,” says Sontag. “For example, one of our next modules will focus on real-time clinical decision support to help automate clinical care pathways, leading to more reliable, high-quality care."
A new study by researchers at MIT explores how AI chatbots can impact people’s feelings and mood, reports Matthew Gault for Gizmodo. “One of the big takeaways is that people who used the chatbots casually and didn’t engage with them emotionally didn’t report feeling lonelier at the end of the study,” explains Gault. “Yet, if a user said they were lonely before they started the study, they felt worse after it was over.”
Researchers at MIT and elsewhere have found that “heavy users of ChatGPT tend to be lonelier, more emotionally dependent on the AI tool and have fewer offline social relationships,” reports Rachel Hall for The Guardian. “The researchers wrote that the users who engaged in the most emotionally expressive personal conversations with the chatbots tended to experience higher loneliness – though it isn’t clear if this is caused by the chatbot or because lonely people are seeking emotional bonds,” explains Hall.
Graduate student Cathy Fang speaks with CBS News reporter Lindsey Reiser about her research studying the effects of AI chatbots on people’s emotional well-being. Fang explains that she and her colleagues found that how the chatbot interacts with the user is important, “but also how the user interacts with the chatbot is equally important. Both influence the user’s emotional and social well-being.” She adds: “Overall, we found that extended use is correlated with more negative outcomes.”
Researchers at MIT and elsewhere have found “that frequency chatbot users experience more loneliness and emotional dependence,” reports Beatrice Nolan for Fortune. “The studies set out to investigate the extent to which interactions with ChatGPT impacted users’ emotional health, with a focus on the use of the chatbot’s advanced voice mode,” explains Nolan.