Vivian Lai is a third year CS Ph.D. student at CU Boulder advised by Chenhao Tan.
Her research interest lies at the intersection of artificial intelligence and human-computer interaction.
She hopes to improve human-AI collaborations by designing and developing interactive interfaces and tutorials for different tasks to help humans make better decisions.
Try out our demo here.
vivian dot lai at colorado dot edu
Harnessing Explanations to Bridge AI and Humans
CHI 2020 Fair & Responsible AI Workshop
Vivian Lai, Samuel Carton and Chenhao Tan
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
Vivian Lai, Han Liu and Chenhao Tan
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
Vivian Lai, Jon Z. Cai and Chenhao Tan
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection.
Vivian Lai, Chenhao Tan