From Visual Thinking to Artificial Intelligence

Feb 21, 2023

About

From Visual Thinking to Artificial Intelligence
Fernanda Viégas and Martin Wattenberg


Presented by CSAIL Human Computer Interaction Group, and MIT MAD


How can we make people smarter? How can we understand computers that appear to be smart themselves? We’ll discuss how data visualization, a broad and expressive medium, can play both of these roles. We’ll touch on some of the visual techniques for powerful exploratory data analysis that look at different kinds of rich data such as text and images. Through a series of examples we will then discuss how visualization can shed light on how AI works, and how using this lens can broaden participation in the field of AI.

Speakers

  • Fernanda Viégas

    Professor at Harvard, data visualizer, computational designer, speaker

    Fernanda Viégas is Gordon McKay Professor of Computer Science at Harvard, as well as Sally Starling Seaver Professor at the Radcliffe Institute for Advanced Study. In addition, Fernanda is Principal Scientist at Google, where she co-founded the PAIR (People+AI Research) initiative with her long-time collaborator Martin Wattenberg.

    Her work in machine learning focuses on transparency and interpretability, as part of a broad agenda to improve human/AI interaction. She is well known for her contributions to social and collaborative visualization, and the systems she has created are used daily by millions of people. Fernanda is also known for visualization-based artwork, which has been exhibited in venues such as the Museum of Modern Art in New York, London Institute of Contemporary Arts and the Whitney Museum of American Art.

  • Martin Wattenberg

    Gordon McKay Professor of Computer Science at Havard

    Martin Wattenberg is Gordon McKay Professor of Computer Science at Harvard. In addition, Martin is Principal Scientist at Google, where he co-founded the PAIR (People+AI Research) initiative with his long-time collaborator Fernanda Viégas.

    His work in machine learning focuses on transparency and interpretability, as part of a broad agenda to improve human/AI interaction. He is well known for his contributions to social and collaborative visualization, and the systems he has created are used daily by millions of people. Martin is also known for visualization-based artwork, which has been exhibited in venues such as the Museum of Modern Art in New York, London Institute of Contemporary Arts and the Whitney Museum of American Art.

Accessibility

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Please email us at [email protected] to request accommodations.