I am graduate student at the Allen School of the University of Washington, Seattle. I am broadly interested in building methods to improve human-AI collaboration. I am advised by Dan Weld.
Updates in Human-AI Teams: Undertanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter Lasecki, Daniel S. Weld, Eric Horvitz
To appear in AAAI 2019
The Challenge of Crafting Intelligible Intelligence
Daniel S. Weld, Gagan Bansal.
To appear in CACM 2018
Explanatory Dialogs: Towards Actionable, Interactive Explanations
Extended Abstract at AAAI/ACM Conference on AI, Ethics, and Society 2018
A Coverage-Based Utility Model for Identifying Unknown Unknowns
Gagan Bansal, Daniel S. Weld.
Full Paper at AAAI 2018
Hierarchical Summarization: Scaling-Up Multi-Document Summarization
Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam.
Full Paper at ACL 2014
- Jacob Sippy (Co-advised with Dan Weld, Autumn 2018-present)
- Lynsey Liu & Ziyao Huang (Co-advised with Jonathan Bragg, Autumn 2016 - Present)
- Diana Iftimie (Co-advised with Dan Weld, Winter 2017)