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New for: D1, D2, D3, INET, D4, D5, D6

What and Who

Designing AI Systems with Steerable Long-Term Dynamics

Thorsten Joachims
Cornell University
SWS Distinguished Lecture Series

Thorsten Joachims is a Professor in the Department of Computer Science and in the Department of Information Science at Cornell University, and he is an Amazon Scholar. His research interests center on a synthesis of theory and system building in machine learning, with applications in information access, language technology, and recommendation. His past research focused on counterfactual and causal inference, learning to rank, structured output prediction, support vector machines, text classification, learning with preferences, and learning from implicit feedback. He is an ACM Fellow, AAAI Fellow, KDD Innovations Award recipient, and member of the ACM SIGIR Academy.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI  
AG Audience
English

Date, Time and Location

Wednesday, 16 November 2022
10:00
60 Minutes
G26
111
Kaiserslautern

Abstract

The feedback that users provide through their choices (e.g. clicks, purchases) is one of the most common types of data readily available for training autonomous systems, and it is widely used in online platforms. However, naively training systems based on choice data may only improve short-term engagement, but not the long-term sustainability of the platform. In this talk, I will discuss some of the pitfalls of engagement-maximization, and explore methods that allow us to supplement engagement with additional criteria that are not limited to individual action-response metrics. The goal is to give platform operators a new set of macroscopic interventions for steering the dynamics of the platform, providing a new level of abstraction that goes beyond the engagement with individual recommendations or rankings.

Please contact the Office team for Zoom link information.

Contact

Geraldine Anderson
+49 631 9303 9607
--email hidden

Video Broadcast

Yes
Saarbrücken
E1 5
002
99457028566

Virtual Meeting Details

Zoom
994 5702 8566
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logged in users only

Uwe Brahm, 11/16/2022 18:14
Uwe Brahm, 11/16/2022 10:22
Geraldine Anderson, 11/15/2022 13:04
Geraldine Anderson, 11/10/2022 17:27 -- Created document.