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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

 

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News

In the Spotlight: Osbert Bastani and Integrating Machine Learning into Real-world Settings

Many students and faculty alike may recognize the face above as Osbert Bastani. Well that’s...

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The ASSET Center: Enabling Trust Between AI and its User

Picture this: you’re getting ready to watch a movie on Netflix, popcorn in hand, and...

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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
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