The sweet taste of a new idea
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
With support from the Stone Foundation, the center will advance cutting-edge research and inform policy.
MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
As artificial intelligence develops, we must ask vital questions about ourselves and our society, Ben Vinson III contends in the 2025 Compton Lecture.
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
The consortium will bring researchers and industry together to focus on impact.
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.