Seminars

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Previous Seminars

The Societal Impact of Foundation Models
Tue, May 2, 2023, 12:30 pm

Foundation models (ChatGPT, StableDiffusion) are transforming society: remarkable capabilities, serious risks, rampant deployment, unprecedented adoption, overflowing funding, and unending controversy. In this talk, we will center our attention on their societal impact. In the first half, we will discuss two efforts (HELM, Ecosystem Graphs) to…

Speaker
Aligning Machine Learning, Law, and Policy for Responsible Real-World Deployments
Tue, Apr 18, 2023, 4:30 pm

Machine learning (ML) is being deployed to a vast array of real-world applications with profound impacts on society. ML can have positive impacts, such as aiding in the discovery of new cures for diseases and improving government transparency and efficiency. But it can also be harmful: reinforcing authoritarian regimes, scaling the spread of…

Speaker
Responsible Machine Learning through the Lens of Causal Inference
Tue, Apr 11, 2023, 12:30 pm

Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has illuminated numerous examples where these algorithms proved unreliable or inequitable. This talk will show how causal inference enables us to more…

CITP Distinguished Lecture Series: Lorrie Cranor – Designing Usable and Useful Privacy Choice Interfaces
Thu, Mar 30, 2023, 4:30 pm

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Users who wish to exercise privacy rights or make privacy choices must often rely on website or app user interfaces. However, too often, these user interfaces suffer from usability deficiencies ranging from being…

Speaker
Physics-Guided AI for Learning Spatiotemporal Dynamics
Mon, Mar 27, 2023, 12:00 pm

Rose Yu is an assistant professor at the University of California San Diego, Department of Computer Science and Engineering. Her research focuses on advancing machine learning techniques for large-scale spatiotemporal data analysis, with applications to sustainability, health, and physical sciences.

Lunch available at 12:00 p.m. Please RSVP to [email protected]

Speaker
CITP Distinguished Lecture Series: Ed Felten – Scaling Arbitrum, from Lab to Product
Wed, Mar 8, 2023, 4:30 pm

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

The Arbitrum blockchain protocol started as a Princeton University research project, and has grown into a robust community hosting hundred of applications and over 600,000 monthly users. Along the way, the system has…

Speaker
CITP Distinguished Lecture Series: Alessandro Acquisti
Wed, Mar 1, 2023, 4:30 pm

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Details: TBA

 

Bio:

Alessandro Acquisti is the Trustees Professor of Information Technology and Public Policy at the Heinz College, Carnegie Mellon University…

Speaker
CITP Distinguished Lecture Series: Thomas Ristenpart – Mitigating Technology Abuse in Intimate Partner Violence and Encrypted Messaging
Wed, Feb 22, 2023, 4:30 pm

Please register here to attend in person.

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Computer security is traditionally about the protection of technology, whereas trust and safety…

Speaker
CITP Distinguished Lecture Series: Jon Kleinberg – The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Wed, Feb 15, 2023, 4:30 pm

Please register here to attend in person.
 

Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering

Speaker
Agile Design of Domain-Specific Accelerators and Compilers
Wed, Feb 15, 2023, 4:30 pm

Abstract: 

With the slowing of Moore's law, computer architects have turned to domain-specific hardware accelerators to improve the performance and efficiency of computing systems. However, programming these systems entails significant modifications to the software stack to properly leverage the specialized…

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