School of Engineering
School of Engineering

School of Engineering

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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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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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MIT students’ works redefine human-AI collaboration

Projects from MIT course 4.043/4.044 (Interaction Intelligence) were presented at NeurIPS, showing how AI transforms creativity, education, and interaction in unexpected ways.

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Expanding robot perception

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

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Department of Energy (DoE) Drug development Drug discovery Electrical engineering and computer science (EECS) IDSS Jameel Clinic machine learning Mathematics Medicine MIT Schwarzman College of Computing National Science Foundation (NSF) Pharmaceuticals Research School of Engineering

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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The multifaceted challenge of powering AI

Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.

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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.

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.

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.