Artificial Intelligence

Localizing epilepsy ‘hotspots’

Student interns worked this summer with the Davis Lab in the Penn Epilepsy Center to research improvements to epilepsy diagnosis using the tools of machine learning and network analysis.

Brandon Baker

AI technology in courts and administrative agencies

A forthcoming article co-authored by Penn Law’s Cary Coglianese explores algorithmic governance, examining how machine-learning algorithms are currently used by federal and state courts and agencies to support their decision-making.

From Penn Carey Law

In the News

The Washington Post

Musk’s latest move at Twitter can only sink ad revenue

A quoted report from the Annenberg Public Policy Center found that AI systems aren’t reliable at moderating social media posts.



Researchers at the University of Pennsylvania propose a new computing architecture ideal for artificial intelligence

A team of researchers at the School of Engineering and Applied Science and colleagues have created a new computing architecture based on compute-in-memory, which is ideal for AI.


Interesting Engineering

Google AI succeeds in developing odor maps of molecules

Joel Mainland of the Perelman School of Medicine and colleagues have used a neural network to create a molecular map of odors in compounds that repel mosquitos.



The right to human empathy in an automated state

Cary Coglianese of the Law School argued that people deserve to be listened to by real humans when faced with life-altering decisions, even amid the rise of automation in government agencies. “The public’s need for empathy, though, does not mean that government should avoid automation,” he wrote. “If planned well, the transition to an automated state could, surprisingly, make interacting with government more humane, not less.”


MIT Technology Review

These creepy fake humans herald a new age in AI

Aaron Roth of the School of Engineering and Applied Science spoke about synthetic data and privacy concerns. “Just because the data is ‘synthetic’ and does not directly correspond to real user data does not mean that it does not encode sensitive information about real people,” he said.


The New Yorker

Who should stop unethical A.I.?

Michael Kearns of the School of Engineering and Applied Science spoke about ethics and artificial intelligence, saying that regulatory agencies “are playing a serious game of catch-up. They don’t understand the technologies that they’re regulating anymore, or its uses, and they have no means of auditing it.”