Lydia Chilton - Designing with AI: Enabling Human-AI Co-Creativity
Speaker
Lydia Chilton
Columbia University
Host
Arvind Satyanarayan
CSAIL MIT
Abstract:
AI has recently demonstrated unprecedented new abilities to generate text, images, and code. Although there is well-deserved excitement around AI, there are also limitations: it is highly unreliable in its ability to separate fact from fiction, to understand the context of a problem, and to evaluate its own outputs. We present several projects that illustrate how AI can assist the design process: brainstorming, prototyping, and iterating. We show that humans and AI have complementary skills that can be combined to achieve outputs that neither could achieve alone and that human input is critical for conceptualization, framing, guidance, feedback, and editing. Applications include making news illustrations, explaining science on Twitter, and creating TikTok videos for news.
Bio:
Lydia Chilton is an Assistant Professor in the Computer Science Department at Columbia University. Her research is in computational design - how computation and AI can help people with design, innovation, and creative problem-solving. Applications include: creating media for journalism, developing technology for public libraries, improving risk communication during hurricanes, helping scientists explain their work, and improving mental health in marginalized communities. Dr. Chilton received her bachelor's degree in computer science from MIT in 2007, her Master's in Engineering from MIT in 2009 and her PhD from the University of Washington in 2016. She was a post-doc at Stanford before joining Columbia Engineering in 2017.
The talk will also be streamed over Zoom: https://mit.zoom.us/j/91028540582.
AI has recently demonstrated unprecedented new abilities to generate text, images, and code. Although there is well-deserved excitement around AI, there are also limitations: it is highly unreliable in its ability to separate fact from fiction, to understand the context of a problem, and to evaluate its own outputs. We present several projects that illustrate how AI can assist the design process: brainstorming, prototyping, and iterating. We show that humans and AI have complementary skills that can be combined to achieve outputs that neither could achieve alone and that human input is critical for conceptualization, framing, guidance, feedback, and editing. Applications include making news illustrations, explaining science on Twitter, and creating TikTok videos for news.
Bio:
Lydia Chilton is an Assistant Professor in the Computer Science Department at Columbia University. Her research is in computational design - how computation and AI can help people with design, innovation, and creative problem-solving. Applications include: creating media for journalism, developing technology for public libraries, improving risk communication during hurricanes, helping scientists explain their work, and improving mental health in marginalized communities. Dr. Chilton received her bachelor's degree in computer science from MIT in 2007, her Master's in Engineering from MIT in 2009 and her PhD from the University of Washington in 2016. She was a post-doc at Stanford before joining Columbia Engineering in 2017.
The talk will also be streamed over Zoom: https://mit.zoom.us/j/91028540582.