In an article for Fast Company, Lecturer Guadalupe Hayes-Mota offers five takeaways concerning the potential impact of AI on healthcare. Understanding AI’s healthcare potential “is crucial for business leaders and policymakers to foster an environment where AI and other analytics tools enhance rather than complicate societal outcomes,” Hayes-Mota writes.
Researchers from the Department of Air Force-MIT Artificial Intelligence Accelerator are applying new AI technologies to assist with everything from pilot communication to developing an AI alternative to GPS satellite-dependent navigation, reports Associated Press reporter Tara Copp.
Writing for The Architect’s Newspaper, James McCown describes the glass curtain wall at the new MIT Schwarzman College of Computing. “Artificial intelligence will be one of the chief research initiatives taking place at Schwarzman,” McCown notes. With all of its transparency, here MIT and SOM have created a powerful gesture of openness and accountability—a crucial perspective as AI technology advances in ways that are both exciting and foreboding.”
An analysis by MIT researchers has identified “wide-ranging instances of AI systems double-crossing opponents, bluffing and pretending to be human,” reports Hannah Devlin for The Guardian. “As the deceptive capabilities of AI systems become more advanced, the dangers they pose to society will become increasingly serious,” says postdoctoral associate Peter Park.
Researchers from MIT and elsewhere have found that “showing AI-generated images of a less car-reliant American city boosted support for sustainable transportation policies,” reports Linda Poon for Bloomberg. “Let’s help them imagine what it would actually be like to live in a car-less neighborhood, and a car-less city,” says postdoctoral associate Rachit Dubey.
MIT researchers have developed a new procedure that uses game theory to improve the accuracy and consistency of large language models (LLMs), reports Steve Nadis for Quanta Magazine. “The new work, which uses games to improve AI, stands in contrast to past approaches, which measured an AI program’s success via its mastery of games,” explains Nadis.
Researchers from MIT and elsewhere have used an AI model to develop a “new approach to finding money laundering on Bitcoin’s blockchain,” reports Andy Greenberg for Wired. “Rather than try to identify cryptocurrency wallets or clusters of addresses associated with criminal entities such as dark-web black markets, thieves, or scammers, the researchers collected patterns of bitcoin transactions that led from one of those known bad actors to a cryptocurrency exchange where dirty crypto might be cashed out,” explains Greenberg.
A new report by Principal Research Scientist Andrew McAfee explores the “implications of generative AI in economic growth, looking at everything from its possible effects on job skills and wages to how it may transform entire industries to its potential risks and pitfalls,” reports Sheryl Estrada for Fortune.
Researchers for MIT and Google are providing a free “Generative AI for Educators Course,” with the aim of helping middle and high school teachers use generative AI tools in the classroom. “MIT RAISE believes knowledge of generative AI is a key factor in creating a more equitable future for education,” says Cynthia Breazeal, director of MIT RAISE. “We’re thrilled to collaborate with Google to offer the Generative AI for Educators Course – providing middle and high school teachers with no-cost AI training. This course empowers educators to confidently integrate AI into their teaching, creating richer and more accessible learning experiences for all students.”
ShareAmerica reporter Lauren Monsen spotlights Prof. Dina Katabi for her work in advancing medicine with artificial intelligence. “Katabi develops AI tools to monitor patients’ breathing patterns, hear rate, sleep quality, and movements,” writes Monsen. “This data informs treatment for patients with diseases such as Parkinson’s, Alzheimer’s, Crohn’s, and ALS (amyotrophic lateral sclerosis), as well as Rett syndrome, a rare neurological disorder.”
MIT researchers have developed a machine-learning accelerator chip to make health-monitoring apps more secure, reports Aman Tripathi for Interesting Engineering. “The researchers subjected this new chip to intensive testing, simulating real-world hacking attempts, and the results were impressive,” explains Tripathi. “Even after millions of attempts, they were unable to recover any private information. In contrast, stealing data from an unprotected chip took only a few thousand samples.”
Bloomberg Opinion columnist Parmy Olson spotlights a new study by MIT researchers that finds AI chatbots can be highly persuasive when reinforced with facts and could potentially be used to help tackle conspiracy theories. “The scientists invited more than 2,000 people who believed in different conspiracy theories to summarize their positions to a chatbot — powered by OpenAI’s latest publicly available language model — and briefly debate them with the bot,” Olson writes. “On average, participants subsequently described themselves as 20% less confident in the conspiracy theory; their views remained softened even two months later.”
Researchers at MIT have found that AI can “be remarkably persuasive when reinforced with facts,” reports Parmy Olson for Bloomberg. “The scientists invited more than 2,000 people who believed in different conspiracy theories to summarize their positions to a chatbot — powered by OpenAI’s latest publicly available language model — and briefly debate them with the bot,” explains Olson. “On average, participants subsequently described themselves as 20% less confident in the conspiracy theory; their views remained softened even two months later.”
Scientific American reporter Riis Williams explores how MIT researchers created “smart gloves” that have tactile sensors woven into the fabric to help teach piano and make other hands-on activities easier. “Hand-based movements like piano playing are normally really subjective and difficult to record and transfer,” explains graduate student Yiyue Luo. “But with these gloves we are actually able to track one person’s touch experience and share it with another person to improve their tactile learning process.”
MIT and Google are offering a free Generative AI for Educators course “designed to help middle and high school teachers learn how to use generative AI tools to personalize instruction, develop creative lessons and save time on administrative tasks,” reports Jack Kelly for Forbes.