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.

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

Call for Proposals

March 17, 2022

Call for Proposals (Due Sept 15, 2022) Collaborative Research in Trustworthy AI for Medicine School...

New ASSET Center Will Focus on the Safety, Explainability and Trustworthiness of AI Systems

July 15, 2022

“What makes an AI system trustworthy depends on the person who needs to trust it,”...

Events

7 Sep

ASSET Seminar: Robust and Equitable Uncertainty Estimation (Aaron Roth, University of Pennsylvania)

12:00 PM - 01:30 AM

Levine 307 or Zoom

See Event

14 Sep

ASSET Seminar: When Will You Become the Best Reviewer of Your Own Papers? A Truthful Owner-Assisted Scoring Mechanism (Weijie Su, University of Pennsylvania)

12:00 PM - 01:30 AM

Levine 307 or Zoom

See Event

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

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