Human-computer interaction

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With a feel for physics, AI models simulate a wider range of real-world scenarios

3-D imaging, ai, AI (Artificial Intelligence), Artificial Intelligence, Computer graphics, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Design, Electrical engineering and computer science (EECS), Human-computer interaction, manufacturing, MIT Schwarzman College of Computing, Research, School of Engineering, Simulation

Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren’t as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don’t understand physics as well as they do pixels or text.To build an AI system that can reliably simulate […]

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The benefits of medical AI assistance vary based on user expertise

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, Diagnostics, Electrical engineering and computer science (EECS), Health care, Human-computer interaction, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Medicine, Research, Technology and society

A one-size-fits-all approach likely isn’t the best strategy when designing artificial intelligence systems that assist users in disease diagnosis.A new study by researchers at MIT and elsewhere found that, while AI assistance generally improved the accuracy of non-experts and clinicians in diagnosing skin diseases, AI explainability methods had different impacts depending on the users’ knowledge

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Daniela Rus receives Bavarian Minister-President’s High-Tech Prize

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Autonomous vehicles, Awards, honors and fellowships, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Faculty, Human-computer interaction, MIT Schwarzman College of Computing, Robotics, School of Engineering

Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Panasonic Professor of Computer Science, has received the 2026 High-Tech Prize of the Bavarian Minister-President for her contributions to robotics, artificial intelligence, and autonomous systems. Awarded jointly by the Bavarian State Government and the Bavarian Academy of Sciences and Humanities, it is

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Working to automate nuclear plant operations

ai, AI (Artificial Intelligence), Artificial Intelligence, automation, Awards, honors and fellowships, Computer modeling, Department of Energy (DoE), Energy, Graduate, postdoctoral, Human-computer interaction, Mechanical engineering, Nuclear power and reactors, Nuclear science and engineering, Profile, Renewable energy, Research, ROTC, School of Engineering, Software, Students, U.S. Armed Forces

For nuclear to be considered as a viable clean energy source, it has to be competitively priced and economical to produce. Lauren Fortier, a second-year doctoral student in the Department of Nuclear Science and Engineering (NSE), is helping the cause by developing remote operation protocols for autonomous control of nuclear plants. After an undergraduate degree in materials

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3 Questions: Neural transparency and the future of AI design

ai, AI (Artificial Intelligence), Algorithms, Apps, Artificial Intelligence, Computer science and technology, data, ethics, Faculty, Human-computer interaction, Interview, Machine Learning, Media Lab, Mental health, Research, Safety, School of Architecture and Planning, Technology and society

Millions of people are now designing their own personalized artificial intelligence companions, yet most have little idea how those creations will actually behave. In a new paper, MIT Media Lab Assistant Professor Pat Pataranutaporn and his graduate student researchers Anthony Baez and Sheer Karny introduce “neural transparency,” a tool that lets everyday users glimpse inside

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New method aims to keep kids safe from illegal AI-generated content

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, ethics, Human-computer interaction, Institute for Medical Engineering and Science (IMES), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Privacy, Public health, Research, School of Engineering

With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for their task, such as generating product renderings in a certain artistic style. But these models also find their way into the hands of nefarious actors who may optimize them to produce illegal content, like hate speech

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Toward a future that preserves benefits of neurotechnology for all

ai, AI (Artificial Intelligence), Artificial Intelligence, Awards, honors and fellowships, Chemistry, Contests and academic competitions, Electrical engineering and computer science (EECS), ethics, Harvard-MIT Health Sciences and Technology, Human-computer interaction, IDSS, Law, MIT Schwarzman College of Computing, Neuroscience, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Students, Technology and policy, Technology and society

As advanced medical technology gets closer to hitting consumer markets, the need for guardrails on protected usage should increase. What might begin as a neural implant to aid in communication could become a device used to police one’s innermost thoughts.Intrigued by the far-reaching benefits and risks of neural implants, Rachel Sava, a PhD candidate in

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Q&A: What is agentic AI today, and what do we want it to be?

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), Human-computer interaction, Interview, Machine Learning, MIT Schwarzman College of Computing, School of Engineering

The deployment of automated software systems called AI agents has recently exploded. A November 2025 report by MIT Sloan School of Management and Boston Consulting Group found that 35 percent of surveyed businesses had already deployed AI agents, while another 44 percent planned to implement agentic AI soon. To understand the fundamentals and potential impacts of these

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Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students

ai, AI (Artificial Intelligence), Artificial Intelligence, Arts, Electrical engineering and computer science (EECS), Electronics, Graduate, postdoctoral, Human-computer interaction, Machine Learning, Media Lab, MIT Schwarzman College of Computing, Music, Music and theater arts, Music technology, Performances, School of Engineering, School of Humanities Arts and Social Sciences, Special events and guest speakers

The MIT Music Technology and Computation (MTC) Graduate Program — launched in fall 2024 as a collaboration between the Music and Theater Arts Section in the School of Humanities, Arts, and Social Sciences (SHASS), and the School of Engineering (SoE) — presented its inaugural MIT Music Technology Research Showcase on May 13. The event played

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In game theory, generalists sometimes win out over specialists

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Electrical engineering and computer science (EECS), Game theory, Human-computer interaction, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering, Software

Whether you’re playing poker against a single opponent or find yourself in a bidding war over a home purchase with another prospective buyer, you are operating under conditions of imperfect information. You know what cards you’re holding in the poker game, and you also know how much above the home’s asking price you can afford,

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