Gagan Bansal

I study and develop human-centered AI for creating better human-AI teams (e.g., for AI-assisted decision-making). Using insights from both Artificial Intelligence and Human-Computer Interaction, I've previously studied:

  • training models that maintain user trust across updates [1], properties of AI that facilitate user ability to create a mental model of trust [2],
  • training AI that optimize for human-AI team performance instead of just their individual accuracy [3], and
  • studying whether AI explanations help users decide when to trust AI recommendations [4].
My ongoing projects develop mechanisms to give users the agency to control and improve AI behavior using human-understandable vocabulary.

Select Publications

Other Publications


I've had the opportunity to work with and advise many excellent undergraduate, Masters, and high-school students:

  • Prithvi Tarale (Autumn 2020-Present)
  • Joyce Zhou (Co-advised with Dan Weld, Autumn 2019-Summer 2020)
  • Jacob Sippy (Co-advised with Dan Weld, Autumn 2018-Summer 2020)
  • Lynsey Liu (Co-advised with Jonathan Bragg, Autumn 2017-2018)
  • Ziyao Huang (Co-advised with Jonathan Bragg, Autumn 2017-2018)
  • Diana Iftimie (Co-advised with Dan Weld, Winter 2017)


In my free time I enjoy social dancing, birding, biking, PNW outdoors, and classical music.