MIT Schwarzman College of Computing
MIT Schwarzman College of Computing

MIT Schwarzman College of Computing

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Aligning AI with human values

“We need to both ensure humans reap AI’s benefits and that we don’t lose control of the technology,” says senior Audrey Lorvo.

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Introducing the MIT Generative AI Impact Consortium

The consortium will bring researchers and industry together to focus on impact.

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User-friendly system can help developers build more efficient simulations and AI models

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

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3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.

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Expanding robot perception

Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.

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Toward video generative models of the molecular world

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

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Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

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Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Faculty Health Care Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Profile School of Engineering social media Technology and society

Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

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Making the art world more accessible

The startup NALA, which began as an MIT class project, directly matches art buyers with artists.