Algorithms
Algorithms

Algorithms

Algorithms Artificial Intelligence Computer science and technology Democracy Electrical engineering and computer science (EECS) Faculty Government Labor and jobs Laboratory for Information and Decision Systems (LIDS) MIT Schwarzman College of Computing Political science politics Profile Public health School of Engineering School of Humanities Arts and Social Sciences Technology and society

Following the questions where they lead

Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.

Algorithms Artificial Intelligence Computer modeling Computer science and technology Design machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Computing Research Lab Research School of Engineering Systems design

A better way to turn 2D designs into 3D models for rapid prototyping

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

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3 Questions: Neural transparency and the future of AI design

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI’s neural network before their chatbot ever says a word.

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Helping AI models to meet the real world

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

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

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

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

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

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

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

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3 Questions: Beyond data-driven aesthetics

In a new Keller Gallery exhibition, Alexandros Haridis SM ’17, PhD ’22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible.

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LLMs help robots understand vague instructions and focus on key details

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

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Improving the speed and energy-efficiency of AI agents

A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Democracy Economics Electrical engineering and computer science (EECS) Government Labor and jobs MIT Schwarzman College of Computing MIT Sloan School of Management Political science politics Program in STS Robotics School of Engineering School of Humanities Arts and Social Sciences Special events and guest speakers Technology and society

Exploring the societal impacts of AI

During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.