Vivian Lai is a third year Computer Science Ph.D. student at the University of Colorado advised by Chenhao Tan and a member of the CHAI lab.
Her research interest lies at the intersection of artificial intelligence and human-computer interaction.
She is interested in improving human-AI collaborations by developing explanations and interfaces, and delegating appropriate tasks to AI.
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