Stone Center on Inequality and Shaping the Future of Work Launches at MIT
Recent launch event for the center featured discussions on pro-worker AI, wealth inequality, and the future of liberal democracy.
Artificial Intelligence
MIT scientists investigate memorization risk in the age of clinical AI
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
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The 10 AI Trends of 2026: Why the Most Important Shift Is Humans Moving Above the Loop
In 2026, organizations that excel will prioritize “above-the-loop” leadership, where human intelligence governs AI autonomy rather than micromanaging decisions. By redefining roles and adopting frameworks like the ECI framework, leaders can optimize the collaboration between AI and human insight, driving productivity, innovation, and controlled risk in a rapidly evolving technological landscape.
Read MoreMIT in the media: 2025 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
Read MoreGuided learning lets “untrainable” neural networks realize their potential
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.
Read MoreA new way to increase the capabilities of large language models
MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.
Read MoreA “scientific sandbox” lets researchers explore the evolution of vision systems
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Read More“Robot, make me a chair”
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.
Read More3 Questions: Using computation to study the world’s best single-celled chemists
Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.
Read MoreWorking to eliminate barriers to adopting nuclear energy
Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.
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