CS&E Colloquium: Human-Centered AI through Scalable Visual Data Analytics
The computer science colloquium takes place on Mondays and Fridays from 11:15 a.m. - 12:15 p.m.
This week's speaker, Minsuk Kahng (Oregon State University), will be giving a talk titled "Human-Centered AI through Scalable Visual Data Analytics".
While artificial intelligence (AI) is widely used today, people often use AI without understanding how it works. This could be detrimental especially when AI is used for high-stakes domains or produces erroneous outputs. How can we help people interpret complex AI systems that use large datasets?
In this talk, I will present my human-centered approach to AI interpretability. I create novel visual analytics systems that are scalable, interactive, and easy to use. With such tools, AI systems that perform well will be trusted, and those that do not can be improved. Specifically, I will discuss three threads of my work: (1) Scalable Interpretation: developing interactive visualization systems for exploring industry-scale deep neural networks (e.g., ActiVis deployed by Facebook); (2) Insight Discovery in Workflow: designing analytic workflows for pracitioners to make AI less biased and more accurate (e.g., fairness auditing, model debugging); and (3) Interactive AI Education: building interactive tools that broaden people's education access to deep learning (e.g., GAN Lab open-sourced with Google). I conclude with a vision to incorporate human's domain knowledge into AI and democratize the use of AI.
Minsuk Kahng is an Assistant Professor of Computer Science at Oregon State University. His research focuses on building visual analytics tools for people to interpret and interact with machine learning systems and large datasets. His work synergistically combines methods from data visualization, Explainable AI, human-computer interaction, and databases. Kahng's research led to deployed technologies by Facebook (e.g., ActiVis, ML Cube) and open-sourced tools (e.g., GAN Lab used by more than 200,000 people in over 190 countries). His research has been supported by NSF, DARPA, Google, and Facebook, and recognized by pretious awards, including Google PhD Fellowship and NSF Graduate Research Fellowship. Before joining Oregon State, Kahng earned his Ph.D. from Georgia Tech with a Dissertation Award and received his Master's and Bachelor's degrees from Seoul National University in South Korea. Website: https://minsuk.com