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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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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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The consequences of relying on AI for accurate news

ai, AI (Artificial Intelligence), Artificial Intelligence, Journalism, Media Lab, MIT Sloan School of Management, Research, School of Architecture and Planning, Tata Center

It’s no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering. An even more recent trend, though, is how large language models (LLMs) like ChatGPT, Claude, and Gemini are increasingly being used for verifying and consuming news; reports from the Pew Research Center over the

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The crucial human component in computing and AI

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Artificial Intelligence, Comparative Media Studies/Writing, Education, teaching, academics, Electrical engineering and computer science (EECS), ethics, Human-computer interaction, IDSS, Media Lab, MIT Schwarzman College of Computing, MIT Sloan School of Management, Music and theater arts, Philosophy, Political science, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Technology and society

On April 30, the MIT Schwarzman College of Computing’s Social and Ethical Responsibilities of Computing (SERC) initiative hosted a full-day research symposium examining how artificial intelligence is shaping the world and its implications for society. The symposium included research talks by SERC’s latest seed grant recipients on topics such as air pollution forecasting and responsible computer vision deployment, panels on AI alignment

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PATH to boost AI training and career opportunities for industry-aligned jobs

ai, AI (Artificial Intelligence), Artificial Intelligence, Careers, Collaboration, Education, teaching, academics, Industry, Labor and jobs, Media Lab, MIT Sloan School of Management, School of Architecture and Planning, STEM education, Technology and society

MIT, in collaboration with Georgia State University and a growing network of educational institutions, has announced expanded work under PATH (Pathways for AI Training and Hiring) — a multiyear initiative designed to scale effective, affordable, industry-aligned AI training for entry-level and current workers, with a particular focus on transforming community colleges into engines powering an

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Tod Machover receives George Peabody Medal for contributions to music and technology

ai, AI (Artificial Intelligence), Artificial Intelligence, Arts, Awards, honors and fellowships, Faculty, Media Lab, Music, Music technology, School of Architecture and Planning

Tod Machover, the Muriel R. Cooper Professor of Music and Media, faculty director of the MIT Media Lab, and director of the Opera of the Future research group, will receive the George Peabody Medal for Outstanding Contributions to Music and Dance in America — the highest honor bestowed by the Peabody Institute of the Johns

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Generative AI improves a wireless vision system that sees through obstructions

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Electronics, Imaging, Machine Learning, Media Lab, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Architecture and Planning, School of Engineering, Sensors, Wireless

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items.Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches. The

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How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Digital technology, Ecology, Electronics, Environment, Faculty, Health, Internet of things, Machine Learning, Media Lab, Medicine, Physics, Profile, School of Architecture and Planning, School of Science, Sensors, Space, Wearable sensors, Wireless

Joseph Paradiso thinks that the most engaging research questions usually span disciplines. Paradiso was trained as a physicist and completed his PhD in experimental high-energy physics at MIT in 1981. His father was a photographer and filmmaker working at MIT, MIT Lincoln Laboratory, and the MITRE Corporation, so he grew up in a house where artists, scientists,

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Study: AI chatbots provide less-accurate information to vulnerable users

ai, AI (Artificial Intelligence), Artificial Intelligence, data, ethics, Machine Learning, Media Lab, MIT Sloan School of Management, Research, School of Architecture and Planning

Large language models (LLMs) have been championed as tools that could democratize access to information worldwide, offering knowledge in a user-friendly interface regardless of a person’s background or location. However, new research from MIT’s Center for Constructive Communication (CCC) suggests these artificial intelligence systems may actually perform worse for the very users who could most

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A “scientific sandbox” lets researchers explore the evolution of vision systems

Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Computer science and technology, Computer vision, Defense Advanced Research Projects Agency (DARPA), Imaging, Machine Learning, Media Lab, Research, School of Architecture and Planning, School of Science, Sensors

Why did humans evolve the eyes we have today?While scientists can’t go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, a new computational framework developed by MIT researchers allows them to explore this evolution in artificial intelligence agents.The framework they developed, in

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