ASSET (Center for AI-enabled systems: Safe, Explainable and Trustworthy)

Our research focus is on science and tools for developing AI-enabled systems so that designers can guarantee that they are doing what they designed them to do and users can trust them to do what they expect them to do.

Research Thrusts

ML Algorithms with Fairness / Privacy / Robustness/ Safety Guarantees

Analysis of AI-enabled Systems for Assurance

Explainability and Interpretability

Neurosymbolic Learning

Human-centric Design

Trusted AI for Healthcare

People

Chris Callison-Burch

Computer and Information Science

Explainability and interpretability, Human-centric design

Insup Lee

Department of Computer and Information Science

ML algorithms with fairness/ privacy/ robustness/ safety guarantees, analysis of AI-enabled systems for assurance, trusted AI for healthcare

George Pappas

Department of Electrical and Systems Engineering

ML algorithms with fairness/ privacy/ robustness/ safety guarantees. Analysis of AI-enabled systems for assurance

Aaron Roth

Computer and Cognitive Science

ML with fairness/ privacy/ robustness/ safety guarantees

News

Amazon Provides Gift to 10 Penn Engineering PhD students for Work on Trustworthy AI

May 3, 2023

Amazon Provides Gift to 10 Penn Engineering PhD students for Work on Trustworthy AI Top...

A team of ASSET researchers wins honorable mention in NIH Long Covid Computational Challenge

April 4, 2023

A team of ASSET researchers wins honorable mention in NIH Long COVID Computational Challenge Penn...

Upcoming Events

September 2023

Sep 06

06 September 2023

ASSET Seminar: Erik Waingarten (University of Pennsylvania)

Levine 307 or Zoom,

Find out more

Sep 13

13 September 2023

ASSET Seminar: Hamsa Bastani (University of Pennsylvania)

Levine 307 or Zoom,

Find out more