TechCrunch reporters Kyle Wiggers and Devin Coldewey spotlight a new generative AI model developed by MIT researchers that can help counteract conspiracy theories. The researchers “had people who believed in conspiracy-related statements talk with a chatbot that gently, patiently, and endlessly offered counterevidence to their arguments,” explain Wiggers and Coldewey. “These conversations led the humans involved to stating a 20% reduction in the associated belief two months later.”
New research by Prof. David Rand and his colleagues has utilized generative AI to address conspiracy theory beliefs, reports Marie Boran for Newsweek. “The researchers had more than 2,000 Americans interact with ChatGPT about a conspiracy theory they believe in, explains Boran. “Within three rounds of conversation with the chatbot, participants’ belief in their chosen conspiracy theory was reduced by 20 percent on average.”
Researchers from MIT and Stanford University have found “staff at one Fortune 500 software firm became 14% more productive on average when using generative AI tools,” reports Olivia Solon and Seth Fiegerman for Bloomberg.
A new study by researchers from MIT and elsewhere tested a generative AI chatbot’s ability to debunk conspiracy theories , reports Mack Degeurin for Popular Science. “In the end, conversations with the chatbot reduced the participant’s overall confidence in their professed conspiracy theory by an average of 20%,” writes Degeurin.
A new study by researchers from MIT and elsewhere has found that an AI chatbot is capable of combating conspiracy theories, reports Karen Kaplan for The Los Angeles Times. The researchers found that conversations with the chatbot made people “less generally conspiratorial,” says Prof. David Rand. “It also increased their intentions to do things like ignore or block social media accounts sharing conspiracies, or, you know, argue with people who are espousing those conspiracy theories.”
A new chatbot developed by MIT researchers aimed at persuading individuals to stop believing unfounded conspiracy theories has made “significant and long-lasting progress at changing people’s convictions,” reports Teddy Rosenbluth for The New York Times. The chatbot, dubbed DebunkBot, challenges the “widely held belief that facts and logic cannot combat conspiracy theories.” Professor David Rand explains: “It is the facts and evidence themselves that are really doing the work here.”
A new study by Prof. David Rand and his colleagues has found that chatbots, powered by generative AI, can help people abandon conspiracy theories, reports Rebecca Ruiz for Mashable. “Rand and his co-authors imagine a future in which a chatbot might be connected to social media accounts as a way to counter conspiracy theories circulating on a platform,” explains Ruiz. “Or people might find a chatbot when they search online for information about viral rumors or hoaxes thanks to keyword ads tied to certain conspiracy search terms.”
Writing for Forbes, Peter Evans PhD '05 identifies used electric vehicle (EV) batteries as the next billion-dollar circular marketplace, noting the possibility of significant search, bargaining and enforcement cost savings. Given large volumes of used batteries won’t be available soon, he acknowledges risk, but “creating a successful national circular EV battery marketplace can be not only a billion-dollar opportunity but an important step toward a more sustainable and resource-efficient future,” he argues.
Prof. Deborah Ancona provides advice for the new Starbucks CEO in an interview with Fast Company’s Nicole Gull McElroy. Recommending the “sensemaking” leadership strategy, she says “you need to understand the company culture, its business model, its customers…even if you have been successful at one company, there is a need to learn, or ‘sensemake,’ about your new place.”
Researchers at MIT have found that knowledge spillovers are more likely to occur when people are within 20 meters of one another, reports Tracy Brower for Forbes. Knowledge spillover “can occur intentionally—when you ask a question or gather around a white board to work through issues,” explains Brower. “Or it can be unintentional—when you’re near your team and you overhear a great idea or get passive exposure to the work going on with others.”
Prof. Stuart Madnick speaks with CNBC reporter Cheryl Winokur Munk about the growing risk of "malvertising" – a new cyberattack technique that places online ads for malicious purposes. “You see something appearing on a Google search, you kind of assume it is something valid,” says Madnick. “You should assume that this could happen to you no matter how careful you are.”
Writing for Project Syndicate, Research Scientist Christian Catalini contributes to a Project Syndicate opinion piece makes the case for implementing cryptocurrency regulation that favors “builders over speculators.” Catalini and his co-authors write: “At the end of the day, policymakers in Washington must come together and draft new rules, rather than trying to squeeze crypto use cases into laws from nearly a century ago. And the industry, for its part, needs to tackle the many problems that traditional financial services and crypto leaders have long ignored.” They add: “The upside, much like in the early days of the internet, is a technology that can restore competition to sectors that haven’t seen it in decades.”
Prof. Kristin Forbes speaks with Reuters reporters Ann Saphir and Howard Schneider about the Federal Reserve’s decision to lower borrowing costs. “It's not one thing that causes everyone to move,” says Forbes. “It's different people focus on different data, different indicators, different risks, and then they all end up in the same place.”
Prof. Kristin Forbes speaks with Associated Press reporter Christopher Rugaber about the Federal Reserve’s announcement declaring the end of the three-year inflation surge. “It really has been a remarkable success, how inflation went up, has come back, and is around the target,” says Forbes. “But from the viewpoint of households, it has not been so successful. Many have taken a big hit to their wages. Many of them feel like the basket of goods they buy is now much more expensive.”
Forbes contributor Peter High spotlights research by Senior Research Scientist Peter Weill, covering real-time decision-making, the importance of digitally savvy leadership and the potential of generative AI. High notes Weill’s advice to keep up. “The gap between digitally advanced companies and those lagging is widening, and the consequences of not keeping pace are becoming more severe. ‘You can’t get left behind on being real time,’ he warned.”