Human-computer interaction

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The effects of an “algorithmic monoculture” depend on the details

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Business and management, Computer science and technology, Electrical engineering and computer science (EECS), Human-computer interaction, Labor and jobs, Laboratory for Information and Decision Systems (LIDS), Linguistics, Machine Learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, Philosophy, Research, School of Engineering, School of Humanities Arts and Social Sciences

AI tools are increasingly replacing human judgements in some settings. For instance, resume screening algorithms are often used in hiring, where they may improve efficiency and consistency in decision-making.But some scholars have raised concerns that the adoption of automated systems could eventually result in one algorithm being used to make all decisions in a particular […]

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System helps humans predict when self-driving cars will make mistakes

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Artificial Intelligence, Autonomous vehicles, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Human-computer interaction, Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering

Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an oncoming emergency vehicle. A human driver or passenger may need to react rapidly to prevent a collision.To help humans better anticipate a vehicle’s mistakes, researchers from MIT

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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

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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

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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

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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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