Faculty
Faculty

Faculty

Artificial Intelligence Books and authors Computer science and technology Economics Ethics Faculty History Labor and jobs MIT Sloan School of Management Policy politics School of Humanities Arts and Social Sciences Social justice Technology and society

An AI challenge only humans can solve

In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Ethics Faculty Human-computer interaction Interview Language machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering Technology and society

3 Questions: Jacob Andreas on large language models

The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.

Algorithms Artificial Intelligence Astrophysics Center for Theoretical Physics Dark matter Diversity and inclusion Ethics Faculty Laboratory for Nuclear Science machine learning MLK visiting scholars Physics Profile Racism School of Science Social justice Space, astronomy and planetary science STEM education

Understanding our place in the universe

Martin Luther King Jr. Scholar Brian Nord trains machines to explore the cosmos and fights for equity in research.

Agriculture Artificial Intelligence Carbon dioxide Civil and environmental engineering Climate Climate change Computer science and technology Faculty Food J-WAFS Lincoln Laboratory machine learning Plants Profile Research Satellites School of Engineering sensors Water

Detailed images from space offer clearer picture of drought effects on plants

J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.

Artificial Intelligence Electrical Engineering & Computer Science (eecs) Ethics Faculty Government Industry machine learning MIT Schwarzman College of Computing Policy School of Engineering social media Technology and society

MIT professor to Congress: “We are at an inflection point” with AI

Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.