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HCII Seminar Series - Alvitta Ottley

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Alvitta Ottley

Speaker
Alvitta Ottley
Associate Professor, Computer Science and Engineering Department, Washington University (St. Louis, MO)

When
-

Where
Newell-Simon Hall 1305

Video
Panopto

Description

"Bridging AI and Visual Analytics"

Visualization research has long been dedicated to finding innovative approaches to represent complex data sets and convey insights to analysts. However, the advent of artificial intelligence (AI) introduces a paradigm shift, presenting new opportunities for visual analytics. This talk will examine the role of machine learning (ML) algorithms in expediting visual analysis, revealing data patterns, and fostering the discovery of novel insights. However, as we embrace the potential of AI, we must also confront the challenges and limitations it introduces, such as data bias, interpretability, and user trust. We will discuss these and other ethical considerations that we should consider when developing AI-powered visualizations. Overall, this talk aims to demonstrate the potential of AI and ML research to transform visual analytics and provide insights into how researchers and developers can leverage these techniques to create more impactful and engaging tools.

 

Speaker's Bio

Dr. Alvitta Ottley is an Associate Professor in the Computer Science & Engineering Department at Washington University in St. Louis, Missouri, USA. She also holds a courtesy appointment in the Psychological and Brain Sciences Department. Her research uses interdisciplinary approaches to solve problems such as how best to display information for effective decision-making and how to design human-in-the-loop visual analytics interfaces that are more attuned to how people think. Dr. Ottley received an NSF CRII Award in 2018 for using visualization to support medical decision-making, the NSF Career Award for creating context-aware visual analytics systems, and the 2022 EuroVis Early Career Award. In addition, her work has appeared in leading conferences and journals such as CHI, VIS, and TVCG, achieving the best paper and honorable mention awards.

Speaker's Website
https://alvitta.com/