Tag: artificial intelligence

  • MIT Forum Explores How AI Reshapes Jobs, Democracy, and Society

    MIT Forum Explores How AI Reshapes Jobs, Democracy, and Society

    At the AI and Society Forum held at MIT, leading researchers from across the Institute gathered to examine the profound ways artificial intelligence is influencing employment, democratic processes, and the very fabric of society. Co-organized by the School of Humanities, Arts, and Social Sciences (SHASS) and the Social and Ethical Responsibilities of Computing (SERC), the event featured keynote talks, panel discussions, and even a musical performance blending generative AI with live instrumentation.

    AI and the Future of Work

    Economist David Autor challenged the widespread fear that AI will simply eliminate jobs. Instead, he argued that the technology’s impact hinges on how it alters the scarcity and value of human expertise. “When I think about how technology interacts with the value of labor, I think about it in terms of how it changes the scarcity of expertise, whether it makes it more valuable or whether it makes it more of a commodity,” Autor said. He emphasized that proactive policies—like worker training, wage insurance, and broader capital ownership—are essential to navigate the coming changes.

    During a panel moderated by Rob Loughlin of McKinsey & Company, MIT experts explored the changing nature of work. Daniela Rus, director of CSAIL, envisioned AI as a collaborative assistant: “I’d like to imagine the robot as your friend and assistant… but the role of the human as the decider, as the person with good judgment, remains super important.” David Mindell added that history shows work constantly evolves, and the key is to “constantly be creating the new work.” Sendhil Mullainathan cautioned that while AI offers productivity gains, long-term growth requires careful differentiation, and we are entering a period of high variance in workforce restructuring.

    Democracy and AI

    The second session turned to AI’s impact on democratic institutions. Chara Podimata of MIT Sloan presented research auditing large language models for bias in election information. Her study of 12 major models during the 2024 U.S. presidential election revealed that responses varied dramatically based on users’ stated demographics and political leanings. A new audit is planned for the 2026 midterms.

    In a panel moderated by Songyee Yoon, experts voiced both concerns and cautious optimism. Bailey Flanigan warned that automating decision-making could strip away the procedural rituals essential to democracy. Charles Stewart III highlighted the risk of AI-induced chaos in elections, noting that “if an election is called into question, that can lead to violence.” Lily Tsai argued that AI designers must embed democratic values such as agency, equality, and mutual respect. She shared a promising example: a Socratic dialogue chatbot that helps people articulate their beliefs, which actually moderated their policy positions.

    A Call for Interdisciplinary Action

    In his opening remarks, SHASS Dean Agustín Rayo stressed that “paying attention to the societal consequences of AI is not a departure from MIT’s mission; it’s a way of ensuring that our technical leadership has maximum impact.” Dan Huttenlocher, dean of the MIT Schwarzman College of Computing, echoed the need for interdisciplinary research to avoid overreliance and unintended consequences. The forum made clear that as AI continues to advance, understanding its societal impacts is as critical as the technology itself.

  • Two LLMs Team Up to Help Robots Interpret Vague Instructions and Prioritize What Matters

    Two LLMs Team Up to Help Robots Interpret Vague Instructions and Prioritize What Matters

    Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new method that uses two large language models (LLMs) to help robots understand ambiguous instructions and focus on key details. The approach, called Masked Inverse Reinforcement Learning (Masked IRL), reduces the amount of demonstration data needed to teach a robot by nearly five times, while improving the robot’s ability to infer unspoken user preferences.

    Traditional robot training often requires either extensive physical demonstrations or detailed written instructions. Masked IRL automates the process: first, one LLM clarifies ambiguous prompts (e.g., turning “stay close” into “stay close to the surface of the table”) by comparing a user’s demonstration trajectory to the shortest possible path. Then a second LLM evaluates the environment and “masks” irrelevant details – such as a person leaning on a table – while highlighting critical ones like obstacles to avoid. The robot then uses these prioritized details to generate a safe motion plan.

    In experiments, the system correctly identified unstated user preferences up to 15 percent more often than comparable baselines. Real-world tests showed a robotic arm successfully moving a coffee mug around a laptop, wiping a table while “staying close” to it, and handing a user a bag of chips while “staying away” from both the person and the table – all after fewer than 50 kinesthetic demonstrations.

    The team plans to enhance Masked IRL with camera input, allowing robots to visually focus on relevant objects in dynamic environments. The work was supported by the Tata Group via the MIT Generative AI Impact Consortium Award and the Department of Defense, and will be presented at the 2026 IEEE International Conference on Robotics and Automation.

  • MIT Economist David Autor Appointed Head of Department of Economics

    MIT Economist David Autor Appointed Head of Department of Economics

    David Autor, the Daniel (1972) and Gail Rubinfeld Professor in MIT’s Department of Economics, has been named head of the department, effective July 1, 2026. A faculty member since 1999, Autor is a leading researcher in artificial intelligence and the future of work.

    “David is a world-class labor economist,” said Agustín Rayo, the Kenan Sahin Dean of the School of Humanities, Arts, and Social Sciences. “He is also an individual of wisdom and insight. I look forward to welcoming him to the school’s leadership team.”

    Autor’s scholarship explores the labor-market impacts of technological change and globalization on job polarization, skill demands, earnings inequality, and electoral outcomes. He co-directs the James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work.

    “I’ve been at MIT since 1999, and I owe my career to the Institute, the department, and colleagues who are as kind as they are accomplished,” Autor said. “Stepping into this role is a chance to contribute to a place that has shaped me at every stage.”

    Autor succeeds Jon Gruber, the Ford Professor of Economics, who served as department head since July 2023. In his new role, Autor aims to “build on the stellar standard set by its faculty and students while navigating budget tightening and a shifting political landscape.” He added: “Just as important, I want to lead the department toward the opportunities that advancing AI is opening in how we teach and what we research.”

    A co-director of the National Bureau of Economic Research (NBER) Labor Studies Program, Autor holds a BA in psychology from Tufts University and a PhD in public policy from Harvard Kennedy School. His honors include the NSF CAREER Award, an Alfred P. Sloan Fellowship, the Sherwin Rosen Prize, an Andrew Carnegie Fellowship, the Society for Progress Medal, and the Heinz 25th Special Recognition Award. In 2023 he was named a NOMIS Distinguished Scientist, and in 2024 an AI2050 Senior Fellow by Schmidt Sciences.

  • Recent Breakthroughs from MIT Schwarzman College of Computing: AI, Robotics, and Beyond

    Recent Breakthroughs from MIT Schwarzman College of Computing: AI, Robotics, and Beyond

    The MIT Schwarzman College of Computing continues to drive innovation across artificial intelligence, robotics, quantum computing, and more. Here are some of the latest developments from MIT researchers and affiliates.

    LLMs Help Robots Understand Vague Instructions

    MIT researchers have developed a method using two language models: one to clarify user instructions and another to ignore irrelevant details, enabling robots to perform chores in homes and factories more effectively. (June 26, 2026)

    Exploring How Curiosity-Driven Science Fuels American Success

    Scientific American highlights the history and future of America’s scientific engine, featuring promising young scientists and icons at MIT and beyond. (June 25, 2026)

    Summer 2026 Recommended Reading from MIT

    Enjoy these recent titles from Institute faculty and staff. (June 25, 2026)

    Improving Speed and Energy-Efficiency of AI Agents

    A new system called Murakkab optimizes the design and deployment of multistep workflows that power AI applications. (June 25, 2026)

    Exploring the Societal Impacts of AI

    During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy. (June 23, 2026)

    New Chip Helps Tiny Robots Navigate Complex Environments

    Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power. (June 23, 2026)

    QS Ranks MIT World’s No. 1 University for 2026-27

    Ranking at the top for the 15th consecutive year, the Institute also places first in 12 subject areas. (June 17, 2026)

    In Game Theory, Generalists Sometimes Win Out Over Specialists

    Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected. (June 17, 2026)

    Could AI Tell You Where You Left Your Keys?

    A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment. (June 17, 2026)

    The Tenured Engineers of 2026

    Ten faculty members have been granted tenure in five units across MIT’s School of Engineering. (June 15, 2026)

    How to Create Distinguishable States for Quantum Systems

    Researchers establish key insights for reading and writing information for quantum sensing, communication, computing, and control. (June 15, 2026)

    When It Comes to Predicting People’s Preferences, It Pays to Consider “The Power of Three”

    MIT researchers provide a major upgrade to the nearly century-old idea of random utility models. (June 11, 2026)

    MIT Affiliates Win 2026 Hertz Foundation Fellowships

    The fellowships in applied sciences, engineering, and mathematics recognize doctoral students pursuing solutions to pressing challenges. (June 11, 2026)

    To Study How Chips Really Work, MIT Researchers Built Their Own Operating System

    A new kernel called Fractal gives researchers a cleaner view of what’s happening inside a processor, and has already surfaced previously unknown behavior in Apple’s M1. (June 10, 2026)

    3D-Printed Devices Could Streamline Production of Drug-Delivery Microparticles

    The cost-effective devices, built in hours, leverage electrospray emitter technology to efficiently produce three-layered particles at scale. (June 9, 2026)

  • MIT Political Science Department: Pioneering Research on Democracy, AI, and Global Affairs

    MIT Political Science Department: Pioneering Research on Democracy, AI, and Global Affairs

    MIT’s Department of Political Science continues to produce groundbreaking research at the intersection of politics, technology, and society. From the impact of architecture on political participation in Ghana to the ethical implications of artificial intelligence, MIT scholars are addressing critical questions facing democracies worldwide.

    How Architecture Influences Political Activity

    New research shows that semi-communal “compound houses” in Ghana significantly affect voting and political engagement. (June 25, 2026)

    Exploring the Societal Impacts of AI

    Leading MIT researchers examined AI’s influence on employment and democracy during the AI and Society Forum. (June 23, 2026)

    The Crucial Human Component in Computing and AI

    The MIT Ethics of Computing Research Symposium highlighted ethical and social impacts in technology. (June 5, 2026)

    Democracies and Safe Drinking Water

    Researchers find that while developing economies provide public water, safety lags due to low visibility. (May 21, 2026)

    Committed to Caring: Professor Daniel Hidalgo Honored

    Associate Professor Daniel Hidalgo, a political scientist studying Latin American elections, receives recognition for graduate student mentorship. (May 13, 2026)

    MIT Affiliates Awarded Guggenheim Fellowships

    Afreen Siddiqi, Kathleen Thelen, and Vinod Vaikuntanathan, along with alumna Kate Manne, are appointed 2026 Guggenheim Fellows. (May 1, 2026)

    Built to Fly: Brian Robinson’s Intersection of Aviation, Politics, and Technology

    MIT senior and master’s candidate Brian Robinson works at the nexus of aviation, politics, and technology. (April 15, 2026)

    Why Does Wealth Inequality Matter?

    An MIT Stone Center event examined origins, mechanisms, and political consequences of high inequality. (April 3, 2026)

    Fostering MIT’s Japan Connection

    MISTI Japan managing director Christine Pilcavage supports students and faculty exploring Japanese culture with a STEM focus. (January 15, 2026)

    Eighteen MIT Faculty Honored as “Committed to Caring”

    The program recognizes outstanding mentorship of graduate students for 2025-27. (January 8, 2026)

    How Drones Are Altering Contemporary Warfare

    A new book by Erik Lin-Greenberg examines evolving dynamics of military and state action centered around drones. (November 13, 2025)

    Q&A: How MITHIC Is Fostering Collaboration at MIT

    The MIT Human Insight Collaborative supports new interdisciplinary initiatives across the Institute. (October 30, 2025)

    Studying War in the New Nuclear Age

    MIT political scientist Caitlin Talmadge scrutinizes military postures and international dynamics to understand escalation risks. (October 28, 2025)

    MIT Schwarzman College of Computing Welcomes 11 New Faculty

    New faculty bring varied backgrounds and expertise to the MIT community. (October 17, 2025)

    Meet the 2025 Tenured Professors in SHASS

    Faculty members granted tenure in Linguistics and Philosophy, Music and Theater Arts, and Political Science. (September 18, 2025)

    These stories reflect the breadth and depth of research at MIT’s Political Science Department, where scholars are shaping our understanding of governance, technology, and global affairs.

  • MIT AeroAstro Department: Pioneering Research in AI, Robotics, and Spaceflight

    MIT AeroAstro Department: Pioneering Research in AI, Robotics, and Spaceflight

    MIT’s Department of Aeronautics and Astronautics (AeroAstro) continues to lead in aerospace engineering and technology. Below are recent highlights from the department, showcasing breakthroughs in robotics, artificial intelligence, quantum systems, and space traffic management.

    LLMs Help Robots Understand Vague Instructions

    Researchers used large language models to help robots interpret ambiguous commands and ignore irrelevant details, improving task performance in dynamic environments like homes and factories. (June 26, 2026)

    Exploring the Societal Impacts of AI

    The AI and Society Forum at MIT brought together leading researchers to discuss critical questions about AI’s influence on employment and democracy. (June 23, 2026)

    New Chip Enables Tiny Robots to Traverse Complex Environments

    A novel chip combining an efficient algorithm with dedicated hardware allows small robots to rapidly generate 3D navigation maps using minimal memory and power. (June 23, 2026)

    QS Ranks MIT World’s No. 1 University for 2026-27

    MIT secured the top spot for the 15th consecutive year, also ranking first in 12 subject areas. (June 17, 2026)

    The Tenured Engineers of 2026

    Ten faculty members received tenure across MIT’s School of Engineering, reflecting excellence in research and teaching. (June 15, 2026)

    Creating Distinguishable Quantum States

    Researchers established key insights for reading and writing information in quantum systems, advancing quantum sensing, communication, and computing. (June 15, 2026)

    New Imaging System Sees Through Murky Waters

    The ‘Sonar-MASt3R’ system combines sonar and visual data to generate real-time 3D maps even in cloudy water, aiding underwater exploration. (June 11, 2026)

    The Crucial Human Component in Computing and AI

    The MIT Ethics of Computing Research Symposium highlighted work at the intersection of ethical and social impact in technology. (June 5, 2026)

    MIGHTY: Open-Source Robot Path Planning

    A new open-source system rapidly produces smooth path plans that cut travel time and avoid obstacles, useful for disaster recovery and delivery. (May 19, 2026)

    Managing Traffic in Space

    Associate Professor Richard Linares develops techniques to help satellites navigate safely in increasingly congested orbits. (April 19, 2026)

    Flying at the Edge of the Stratosphere

    MIT students experience the Earth’s curvature through a reborn AeroAstro introductory course, combining hands-on flight with education. (April 14, 2026)

    These stories represent the breadth of innovation at MIT AeroAstro, from fundamental research to real-world applications. For more details, visit the official MIT News site.

  • AIB Debuts AI-Driven Mobile App to Deliver Personalized Financial Insights

    AIB Debuts AI-Driven Mobile App to Deliver Personalized Financial Insights

    Allied Irish Banks (AIB) has launched a completely redesigned mobile banking application, marking what the lender calls its most significant digital channel update in over a decade. The new app, rolling out from late June, leverages machine learning and advanced data analytics to turn everyday transaction data into actionable, personalized financial guidance.

    The upgrade addresses a key industry challenge identified by AIB’s own research: while 76% of Irish adults check their banking app multiple times a week, 47% rarely use it for financial insights. The app aims to close this gap by embedding AI-powered intelligence directly into the user experience, moving beyond basic balance checks and payments.

    Developed over 18 months with extensive customer collaboration and pilot programs, the app introduces intelligent spending categorization, merchant-level analysis, and proactive budget recommendations. Machine learning algorithms analyze transaction histories to surface spending trends, helping users set goals and make more informed decisions. This directly responds to the 31% of consumers who report low confidence in managing their finances and the 24% who find long-term planning frustrating.

    Security remains a cornerstone of the new platform. It integrates passkey authentication, intelligent card controls (including freeze functionality), and what AIB describes as best-in-class cyber security technology — likely leveraging ML for fraud detection and anomaly identification. The bank emphasizes that trust is foundational, supported by secure, resilient technology.

    The app is built on a cloud-based, modular architecture designed for continuous delivery and iterative improvement. This platform approach enables faster deployment of new AI features and positions AIB to compete against a fragmented fintech ecosystem. Upcoming enhancements include tools for children and parents, goal-based savings pots with predictive modeling, and mortgage management with personalized recommendations.

    AIB maintains a hybrid service model with 170 branches and ongoing investment in human support, reflecting that 94% of customers still value access to human assistance. Geraldine Casey, Managing Director of Retail Banking, stated: "This new AIB app is a major step forward in digital innovation and security for our customers, providing the convenience and accessibility of best-in-class banking they can trust." Chief Operating Officer Graham Fagan added: "We’ve built a digital engagement platform that sits beneath the app that is designed to enable us to continuously add to it quarter on quarter."

  • Exploring MIT’s Latest Machine Learning Breakthroughs in Robotics and AI

    Exploring MIT’s Latest Machine Learning Breakthroughs in Robotics and AI

    MIT continues to push the boundaries of machine learning with a series of groundbreaking research developments that span robotics, AI efficiency, material science, and more. Recent projects highlight the institute’s commitment to advancing both theory and practical applications.

    In robotics, researchers have developed a system that leverages large language models to help robots interpret vague instructions and focus on crucial details, improving task performance in homes and factories. Another innovation, known as Murakkab, optimizes multistep AI workflows, enhancing speed and energy efficiency. A new low-power chip enables tiny robots to generate 3D maps for navigation with minimal memory and power consumption.

    Beyond robotics, MIT scientists are modeling metal alloys at atomic scales to predict material properties more accurately, while game theory research shows that generalist algorithms can outperform specialists in certain scenarios. A novel spatial memory system allows robots to efficiently remember object locations, and a major update to random utility models—dubbed ‘the power of three’—improves preference prediction accuracy.

    Commercial applications include a startup using MIT technology for real-time product tracking in retail, manufacturing, and logistics. The NSF has renewed support for the MIT-led Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), expanding its second phase with increased funding and broader ambitions. Researchers are also teaching AI agents to ask better questions using the game Battleship, and a new dataset called ChartNet enhances vision-language models’ ability to interpret charts.

    Additional milestones include MIT economist Whitney Newey receiving the Erwin Plein Nemmers Prize, new AI chemistry models designed by Connor Coley, and the appointment of Justin Solomon as associate dean of engineering education. MIT Open Learning launched a universal AI education program, making AI fluency accessible worldwide.

    These achievements underscore MIT’s role as a leader in machine learning, driving innovations that shape the future of technology and science.