Lecturer Michael Schrage speaks with Forbes reporter Josipa Majic Predin about the shift towards generative AI in business. "AI should not be seen overwhelmingly as just an ethical or a technical or a digital innovation and platform," says Schrage. "It's actually a philosophical capability and resource."
Writing for The Boston Globe, graduate students Manuj Dhariwal SM '17 and Shruti Dhariwal SM '18 highlight new efforts to reframe the language used to describe the ways humans are interacting with AI technologies. “It is a subtle reframing, but one that we urgently need as AI systems become interwoven with our creative, social, and emotional worlds,” they write. “The point is not necessarily to choose one over the other — but to clearly distinguish one from the other.”
Principal Research Scientist Kalyan Veeramachaneni speaks with WBUR On Point host Meghna Chakrabarti about the benefits and risks of training AI on synthetic data. “I think the AI that we have as of today and we are using is largely very small; I don't mean that as in size, but in the tasks that it can do,” says Veeramachaneni. “And as days go by, we are asking more and more of it… that requires us to provide more data, train more models that are much more efficient in reasoning, and can solve problems that we haven't thought of solving.”
Prof. Pattie Maes speaks with Financial Times reporter Cristina Criddle about recent developments aimed at increasing AI memory retention. “The more a system knows about you, the more it can be used for negative purposes to either make you buy stuff or convince you of particular beliefs,” says Maes. “So you have to start thinking about the underlying incentives of the companies that offer these services.”
Prof. Daniela Rus, director of CSAIL, speaks with Wall Street Journal reporter Isabelle Bousquette about her vision for the future of robots as soft, squishy, flexible and maybe even edible. Bousquette notes that Rus is a “pioneer” in the field of soft robotics and Steve Crowe, chair of the Robotics Summit and Expo, emphasizes: “there’s literally nobody in the world that knows more about this stuff than Daniela Rus.” “I really wanted to broaden our view of what a robot is,” says Rus. “If you have a mechanism that’s made out of paper and that moves, is that a robot or not? If you have an origami flower that you attach to a motor, is that a robot or not? To me, it’s a robot.”
Jia Haojun PhD '24, graduate student Gao Wenhao and postdoctoral associate James Utama Surjadi have been named to the Forbes 30 and Under 30 Asia: Healthcare & Science list, writes Yue Wang for Forbes. The list honors those “who are using cutting-edge technology to innovative and improve their industry.”
CSAIL Research Scientist Neil Thompson speaks with Wired reporter Will Knight about how new AI systems are developing new algorithms that could be used to help advance scientific research and innovation. “If these capabilities can be used to tackle bigger, less tightly-scoped problems, it has the potential to accelerate innovation—and thus prosperity,” says Thompson.
Prof. Pulkit Agrawal speaks with Darian Woods and Geoff Brumfiel of NPR’s The Indicator from Planet Money about his work developing a simulator that can be used to train robots. “The power of simulation is that you can collect, you know, very large amounts of data,” explains Agrawal. “For example, in three hours', you know, worth of simulation, we can collect 100 days' worth of data.”
Researchers at MIT have conducted a survey to understand how people interact with AI companions, reports David Adam for Nature. The researchers found that 12% [of users] were drawn to the apps to help them cope with loneliness and 14% used them to discuss personal issues and mental health,” writes Adam. “Forty-two per cent of users said they logged on a few times a week, with just 15% doing so every day. More than 90% reported that their sessions lasted less than one hour.”
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.”