“Thinking about scientific transparency in the age of AI is just absolutely crucial,” said Class of 1987 Professor of Politics at the Department of Politics at Princeton University Arthur Spirling.

“Dinner with a Professor serves as a special celebration of the strong connection between SML students and their faculty advisors and mentors.”

Rafael Pastrana, a Princeton University Ph.D candidate in architecture, is at work developing and exploring his own methods of computing structural shapes that are both functional and judicious in the use of materials. “One of the secret sauces powering the methods I work with to create good shapes is machine learning,” said Pastrana. 

In the same way that a dog can be trained to roll over in exchange for treats, reinforcement learning algorithms can train AI systems to learn to maximize rewards via trial and error. 

Reinforcement learning methods enable AI systems to find strategies that are better than those used by humans, as demonstrated by…