The Hill reporter Tobias Burns spotlights the efforts of a number of MIT researchers to better understand the impact of generative AI on productivity in the workforce. One research study “looked as cases where AI helped improved productivity and worker experience specifically in outsourced settings, such as call centers,” explains Burns. Another research study explored the impact of AI programs, such as ChatGPT, among employees.
Forbes selects innovators for the list’s Healthcare & Science category, written by senior contributor Yue Wang. On the list is MIT PhD candidate Yuzhe Yang, who studies AI and machine learning technologies capability to monitor and diagnose illnesses such as Parkinson's disease.
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.
Break Through Tech A.I., a new program hosted and supported by MIT and a number of other universities, is providing free artificial intelligence courses to “reduce obstacles to tech careers for underrepresented college students, including lower-income, Latina and Black young women,” reports Natasha Singer for The New York Times. The program “aims to help lower-income students, many of whom have part-time jobs on top of their schoolwork, learn A.I. skills, develop industry connections and participate in research projects they can discuss with job recruiters,” writes Singer.
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.
Researchers from MIT and elsewhere have used quantitative and computational methods to analyze animal communication, reports Emily Anthes for The New York Times.
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 at MIT and elsewhere have investigated “how several species of parrots interacted when placed on brief video calls with one another,” reports Mack Degeurin for Popular Science. “The results were shocking,” explains Degeurin. “In almost all cases, the birds’ caretakers claim the video calls improved their well-being. Some of the birds even appeared to learn new skills, like foraging or improved flight, after observing other birds doing so.”
Prof. Yoon Kim speaks with USA Today reporter Eve Chen about how AI can be used in everyday tasks such as travel planning. “AI is generally everywhere,” says Kim. “For example, when you search for something – let’s say you search for something on TripAdvisor, Hotels.com – there is likely an AI-based system that gives you a list of matches based on your query.”
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.”
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.”