Can AI Companies Regulate Themselves?
On a recent episode of This Week in Business, Kevin Werbach explores the growing challenges of AI governance, from accountability and safety to the difficulty of creating effective regulations across countries.
Resilience is a system’s ability to retain its basic functionality in the presence of stresses and failures. Despite widespread consequences, events leading to loss of resilience — such as cascading failures in technological systems or financial networks — are rarely predictable and often irreversible. This research initiative investigates how all manner of networks can structure themselves so they are more protected against collapse from within. The Warren Center brings together faculty affiliates from across the University to explore how to maximize the benefits of networks while minimizing the potential for real catastrophe. This includes a particular focus on increasing the resilience of a networked system to endogenous risks by increasing the resilience of the individual components, as well as anticipating how agents in the system will respond to these changes.
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Benjamin C. Lee
Professor of Computer and Information Science and Electrical and Systems Engineering
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Alejandro Ribeiro
Solomon and Sylvia G. Charp Professor of Electrical and Systems Engineering
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Rakesh Vohra
Founding Director of The Warren Center; Penn Integrates Knowledge University Professor; George A. Weiss and Lydia Bravo Weiss University Professor of Economics and Electrical and Systems Engineering
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Kevin Werbach
Liem Sioe Liong/First Pacific Company Professor of Legal Studies & Business Ethics
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Christopher Yoo
Imasogie Professor in Law and Technology; Professor of Communication and Computer and Information Science
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Amy Gutmann Hall, Room 414
On 4/29, Warren Center faculty affiliate René Vidal will discuss "Compositional Control of Multimodal Foundation Models" in a Penn ASSET Center seminar.
Perelman Center for Political Science and Economics, 133 S. 36th Street, Philadelphia, PA
This two-day conference will celebrate Frank Diebold’s contributions to research, teaching, and mentoring, his 65th birthday, and 35 years on the Penn faculty. Please note that the event is by invitation only.
AGH 414
The Optimization Seminar series features leading experts in optimization and adjacent fields, and topics range broadly. In this talk, Shirin Saeedi Bidokhti will discuss "Learning-Based Data Compression: Fundamental Limits and Algorithms."