Research Scientist Mathieu Huot speaks with Tech Briefs reporter Andrew Corselli about his work with GenSQL, a generative AI system for databases that “could help users make predictions, detect anomalies, guess missing values, fix errors, or generate synthetic data with just a few keystrokes.”
Intelmatix, an AI startup founded by by Almaha Almalki MS '18, Anas Alfaris MS '09, PhD '09 and Ahmad Alabdulkareem PhD '18, aims to provide businesses in the Middle East and North Africa with access to AI for decision-making, reports Annie Njanja for TechCrunch. . “The idea of democratizing access to AI has always been something that we’ve been very passionate about,” says Alfaris.
Prof. Sherry Turkle shares the benefits of being polite when interacting with AI technologies, reports Webb Wright for Scientific American, underscoring the risks of becoming habituated to using crass, disrespectful and dictatorial language. “We have to protect ourselves,” says Turkle. “Because we’re the only ones that have to form relationships with real people.”
Penny Abeywardena of Forbes spotlights Joy Buolamwini PhD '22 and her work focused on the impacts of AI technologies on privacy. “We have to think about what we do when something goes wrong for the people I call the excoded, or in other words, those harmed by AI systems,” says Buolamwini. “We need to have pathways for redress and design with redress in mind.”
Forbes reporter Rodger Dean Duncan spotlights “The Skill Code: How to Save Human Ability in an Age of Intelligent Machines,” a new book by Research Affiliate Matt Bean SM '14, PhD '17. Duncan “explains Beane’s take on AI tools, collaboration and remote work, who suggests traditional mentoring is at risk in the workplace. Beane says today’s successful people have ‘discovered new tactics that others can use to get skills without throwing out the benefits of hybrid working arrangements.’”
Researchers from the Data Provenance Initiative, a research group led by MIT engineers, have found that “important web sources used for training AI models have restricted the use of their data,” reports Kevin Roose for The New York Times. “We’re seeing a rapid decline in consent to use data across the web that will have ramifications not just for A.I. companies, but for researchers, academics and noncommercial entities,” explains graduate student Shayne Longpre.
Dean Anantha Chandrakasan, MIT’s Chief Innovation and Strategy Officer, and Pavlos-Petros Sotiriadis PhD '02 sit down with Tassoula Eptakili of Kathimerini to discuss MIT’s unique approach to entrepreneurship, the future of AI and the importance of mentorship. MIT’s approach to education “focuses both on foundational knowledge and its practical application. This prepares [students] to tackle even the most challenging problems,” says Chandrakasan. “It is no coincidence that MIT’s impact on the world has been immense over time: In recent decades, behind almost every significant discovery or new lifesaving technology, you will find our graduates leading or contributing decisively to these efforts.”
Prof. Armando Solar-Lezama speaks with The Wall Street Journal reporter Isabelle Bousquette about large language models (LLMs) in academia. Instead of building LLMs from scratch, Solar-Lezama suggests “students and researchers are focused on developing applications and even creating synthetic data that could be used to train LLMs,” writes Bousquette.
Prof. Michael Cusumano speaks with Associated Press reporters Matt O’Brien and Sarah Parvini about a new approach to AI acquisitions and the impact on smaller AI startups. “To acquire only some employees or the majority, but not all, license technology, leave the company functioning but not really competing, that’s a new twist,” says Cusumano.
Institute Prof. Daron Acemoglu speaks with CNBC Last Call host Brian Sullivan about what he describes as exaggerated claims about the macroeconomic effects of AI. “I am completely convinced that there are some impressive changes and there are some things that AI can really help us with, but it's not going to suddenly revolutionize everything we do,” Acemoglu says. “And if it's going to do it, it's going to take a while.”
Under the direction of CEO Noubar Afeyan PhD '87, a member of the MIT Corporation, Flagship Pioneering is using its resources to back life sciences companies, seeking to vertically integrate the processes of scientific discovery, reports Scott Kirsner for The Boston Globe. “Afeyan’s latest vision involves artificial intelligence and how it will change the way science and drug development are done,” he writes. “Afeyan says that AI could eventually become a tool that does much of the work of scientific discovery.”
Forbes reporter Ulrich Boser spotlights Prof. Rosalind Picard and her work toward advancing “the capability of computers to recognize human emotions.” “AI can enhance learning, and chatbots can supplement many aspects of teaching and tutoring but true success lies in establishing better tutoring platforms to support – not replace – teachers,” writes Boser.
Reuters reporter Felix Martin highlights Prof. Daron Acemoglu’s research demonstrating how AI may not help improve productivity in the developed world. Acemoglu has found that broad productivity growth from reasonable estimates of AI replacing humans in the workplace “would increase by only around half a percentage point over 10 years. That is barely a third of the ground lost since 2008,” Martin explains.
Prof. Sherry Turkle joins Manoush Zomorodi of NPR’s "Body Electric" to discuss her latest research on human relationships with AI chatbots, which she says can be beneficial but come with drawbacks since artificial relationships could set unrealistic expectations for real ones. "What AI can offer is a space away from the friction of companionship and friendship,” explains Turkle. “It offers the illusion of intimacy without the demands. And that is the particular challenge of this technology."
Prof. Yoon Kim speaks with Vox reporter Adam Clark Estes on how to address hallucinations and misinformation within large language models. “I don't think we'll ever be at a stage where we can guarantee that hallucinations won't exist,” says Kim. “But I think there's been a lot of advancements in reducing these hallucinations, and I think we'll get to a point where they'll become good enough to use.”