Generating the policy of tomorrow
As first-year students in the Social and Engineering Systems (SES) doctoral program within the MIT Institute for Data, Systems, and Society (IDSS), Eric Liu and Ashely Peake share an interest...
Q&A: A blueprint for sustainable innovation
Atacama Biomaterials is a startup combining architecture, machine learning, and chemical engineering to create eco-friendly materials with multiple applications. Passionate about sustainable innovation, its co-founder Paloma Gonzalez-Rojas SM ’15, PhD ’21...
What to do about AI in health?
Before a drug is approved by the U.S. Food and Drug Administration (FDA), it must demonstrate both safety and efficacy. However, the FDA does not require an understanding a drug’s...
New hope for early pancreatic cancer intervention via AI-based risk prediction
The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and challenging odyssey to understand the elusive and deadly disease....
Reasoning and reliability in AI
In order for natural language to be an effective form of communication, the parties involved need to be able to understand words and their context, assume that the content is...
Stratospheric safety standards: How aviation could steer regulation of AI in health
What is the likelihood of dying in a plane crash? According to a 2022 report released by the International Air Transport Association, the industry fatality risk is 0.11. In other...
Multiple AI models help robots execute complex plans more transparently
Your daily to-do list is likely pretty straightforward: wash the dishes, buy groceries, and other minutiae. It’s unlikely you wrote out “pick up the first dirty dish,” or “wash that...
Technique could efficiently solve partial differential equations for numerous applications
In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and...
AI agents help explain other AI systems
Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, reverse-engineering how artificial intelligence...
