Insight and Oversights: Shaping the Future of Visual Analytics with AI
We stand at an intersection where cutting-edge artificial intelligence (AI) technologies meet the complexities of visual data interpretation, and the potential for transforming data into actionable insights has never been more promising. 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.
Through a critical examination of both insights and oversights, this presentation aspires to guide researchers, developers, and analysts toward a future where AI-enhanced visual analytics not only provides groundbreaking insights but does so ethically and responsibly.
Dr. Alvitta Ottley is an associate professor in the Computer Science & Engineering Department at Washington University in St. Louis, Missouri, with 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.