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 Law

In the News


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.”


The Washington Post

Artificial intelligence and COVID-19: Can the machines save us?

Jason Moore of the Perelman School of Medicine spoke about how AI and machine learning are aiding the fight against COVID-19, but also warned, “If you’re only studying primarily Caucasian populations and want to apply that nationally, that may not work as well on a more diverse population. AI algorithms themselves can be biased and can pick and inflate biases in the data. Those are the things I worry about,” he said.


This AI breakthrough in antibiotics might one day save your life

César de la Fuente of the School of Engineering and Applied Science commented on new MIT research that might speed up antibiotic discovery. “I think it’s a breakthrough in a field of much unmet need,” he said. “After all, no new classes of antibiotics have been discovered for decades. This one is definitely structurally different from conventional antibiotics.”


WHYY (Philadelphia)

Can algorithms help judges make fair decisions?

Michael Kearns of the School of Engineering and Applied Science said algorithms force us to be more detailed in our decision-making. “You should never expect machine learning to do something for free that you didn’t explicitly ask it to do for you, and you should never expect it to avoid behavior that you want it to avoid that you didn’t tell it explicitly to avoid,” he said.