AI Seminar: Human-AI Interaction through Scalable Visual Data Analytics is coming at 02/05/2020 - 1:00pm
Gleeson 200 Wed, 02/05/2020 - 1:00pm Minsuk Kahng Assistant Professor, School of EECS, Oregon State University Abstract: How can we make AI more interpretable and accessible, so that people can build them more easily and use them more effectively? In this talk, I present my human-centric approach to this challenging problem, by creating novel data visualization tools that are scalable, interactive, and easy to use. I present my work in two interrelated topics: (1) Visual Analytics for Industry-scale Models: I describe how the ActiVis system helps Facebook data scientists interpret their models that use industry-scale datasets. ActiVis has been deployed on Facebook's ML platform. (2) Broadening People's Access to AI: I show how GAN Lab helps novices interactively learn complex concepts of Generative Adversarial Networks (GANs). It has been open-sourced with Google Brain and used by more than 70,000 people over the world. Lastly, I discuss my vision to bring human into the ML workflow and design interaction model building systems for non-experts. Bio: Read more: https://eecs.oregonstate.edu/colloquium/ai-seminar-human-ai-interaction-... [1] [1] https://eecs.oregonstate.edu/colloquium/ai-seminar-human-ai-interaction-through-scalable-visual-data-analytics
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