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 developing explanations and interactive interfaces 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
paper slides

"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
CHI 2020
Vivian Lai, Han Liu and Chenhao Tan
paper demo slides talk

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
EMNLP 2019
Vivian Lai, Jon Z. Cai and Chenhao Tan
paper code

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection.
FAT* 2019
Vivian Lai, Chenhao Tan
paper demo slides talk