Researchers at MIT have found that commercially available AI models, “were more likely to recommend calling police when shown Ring videos captured in minority communities,” reports Kyle Wiggers for TechCrunch. “The study also found that, when analyzing footage from majority-white neighborhoods, the models were less likely to describe scenes using terms like ‘casing the property’ or ‘burglary tools,’” writes Wiggers.
Researchers at MIT have developed GenSQL, a new generative AI system that can be used “to ease answering data science questions,” reports Allison Proffitt for Bio-It World. “Look how much better data science could be if it was easier to use,” says Research Scientist Mathieu Huot. “It’s not perfect yet, but we believe it’s quite an improvement over other options.”
Prof. Daron Acemoglu speaks with Greg Rosalsky of NPR’s Planet Money about a recent survey that claims "almost 40% of Americans, ages 18 to 64, have used generative AI." "My concern with their numbers is that it does not distinguish fundamentally productive uses of generative AI from occasional/frivolous uses," says Acemoglu.
Sloan Visiting Senior Lecturer Paul McDonagh-Smith speaks with Joe McKendrick of Forbes about the ongoing discussions about AI safety guidelines. “While ensuring safety is crucial, especially for frontier AI models, there is also a need to strike a balance where AI is a catalyst for innovation without putting our organizations and broader society at risk,” explains McDonagh-Smith.
Prof. Yossi Sheffi speaks with Boston Globe reporter Hiawatha Bray about the challenges and risks posed by implementing automation, amid the dockworkers strike. Sheffi emphasized the importance of gradually introducing new technologies and offering workers training to work with AI. “There will be new jobs,” says Sheffi. “And we want the current workers to be able to get these new jobs.”
Prof. Yossi Sheffi speaks with Associated Press reporter Cathy Bussewitz about how automation could impact the workforce, specifically dockworkers. “You cannot bet against the march of technology,” says Sheffi. “You cannot ban automation, because it will creep up in other places... The trick is to make it over time, not do it haphazardly.”
Prof. David Autor speaks with Washington Post reporter Cat Zakrzewski about the anticipated impact of AI in various industries. “We are just learning how to use AI and what it's good for, and it will take a while to figure out how to use it really productively,” says Autor.
Researchers at MIT have found large language models “often struggle to handle more complex problems that require true understanding,” reports Kirimgeray Kirimli for Forbes. “This underscores the need for future versions of LLMs to go beyond just these basic, shared capabilities,” writes Kirimli.
Prof. Daron Acemoglu speaks with Bloomberg reporter Jeran Wittenstein about the current state of AI and the technology’s economic potential. “You need highly reliable information or the ability of these models to faithfully implement certain steps that previously workers were doing,” says Acemoglu of the state of current large language models. “They can do that in a few places with some human supervisory oversight” — like coding — “but in most places they cannot. That’s a reality check for where we are right now."
Researchers at MIT have developed “Future You,” a generative AI chatbot that enables users to speak with potential older versions of themselves, reports Sharon Goldman for Fortune. The tool “uses a large language model and information provided by the user to help young people ‘improve their sense of future self-continuity, a psychological concept that describes how connected a person feels with their future self,’” writes Goldman. “The researchers explained that the tool cautions users that its results are only one potential version of their future self, and they can still change their lives,” writes Goldman.
MIT researchers have found that more workers without college degrees are optimistic about AI and automation initiatives in the workplace, than those workers with a college diploma, reports Rebecca Klar for Bloomberg Law. The study found “27.4% of workers without a college degree estimated that automation will be beneficial for their job security, compared to 23.7% of workers with a college degree,” explains Klar.
Researchers at MIT have found that “60% of workers who work with robotics and AI think they’ll see positive career impacts as a result in terms of productivity, satisfaction, and job safety,” reports Sam Becker for Fast Company.
Researchers at MIT have developed a new method that “enables robots to intuitively identify relevant areas of a scene based on specific tasks,” reports Baba Tamim for Interesting Engineering. “The tech adopts a distinctive strategy to make robots effective and efficient at sorting a cluttered environment, such as finding a specific brand of mustard on a messy kitchen counter,” explains Tamim.
Researchers at MIT and elsewhere have found that “human memories can be distorted by photos and videos edited by artificial intelligence,” reports Matthew Sparkes for New Scientist. “I think the worst part here, that we need to be aware or concerned about, is when the user isn’t aware of it,” says postdoctoral fellow Samantha Chan. “We definitely have to be aware and work together with these companies, or have a way to mitigate these effects. Maybe have sort of a structure where users can still control and say ‘I want to remember this as it was’, or at least have a tag that says ‘this was a doctored photo, this was a changed photo, this was not a real one’.”
Prof. Regina Barzilay has received the WebMD Health Heros award for her work developing a new system that uses AI to detect breast cancer up to 5 years earlier, reports WHDH. “We do have a right to know our risk and then we, together with our healthcare providers, need to manage them,” says Barzilay.