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March 2023

Tuesday, March 28, 2023
@12:30 pm
- 1:30 pm
306 Sherrerd Hall
Fall 22 Fellow Per Jakob Mokander

CITP Seminar: Jakob Mökander – Auditing Large Language Models

The emergence of large language models (LLMs) represents a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards auditing ...

Thursday, March 30, 2023
@4:30 pm
- 6:00 pm
105 Computer Science
Photo Lorrie Cranor

CITP Distinguished Lecture Series: Lorrie Cranor – Designing Usable and Useful Privacy Choice Interfaces

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 difficult to find, hard to understand, or ...

April 2023

Tuesday, April 4, 2023
@12:30 pm
- 1:30 pm
306 Sherrerd Hall
Photo Brooke Welles

CITP Seminar: Brooke Welles – #HashtagActivism: Networks of Race and Gender Justice 

The proliferation of social media has given rise to widespread study and speculation about the impact of digital technologies on politics, activism, and social change. Key among these debates is the role of social media in shaping the contemporary public sphere, and ...

Wednesday, April 5, 2023
@12:30 pm
- 1:30 pm
Computer Science 105
Liu, Lydia photo

CITP Lecture: Lydia Liu -Towards Responsible Machine Learning in Societal Systems

Machine learning systems are deployed in consequential domains such as education, employment, and credit, where decisions have profound effects on socioeconomic opportunity and life outcomes. High stakes decision settings present new statistical, ...

Tuesday, April 11, 2023
@12:30 pm
- 1:30 pm
105 Computer Science
Photo Amanda Coston

CITP Lecture: Amanda Coston – Responsible Machine Learning through the Lens of Causal Inference

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 ...