Gagan Bansal
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The Challenge of Crafting Intelligible Intelligence
DS Weld, G Bansal
Communications of the ACM, 2019
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
G Bansal, B Nushi, E Kamar, WS Lasecki, DS Weld, E Horvitz
HCOMP, 2019
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
G Bansal, B Nushi, E Kamar, DS Weld, WS Lasecki, E Horvitz
AAAI, 2019
Hierarchical summarization: Scaling up multi-document summarization
J Christensen, S Soderland, G Bansal, Mausam
ACL, 2014
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
G Bansal, T Wu, J Zhou, R Fok, B Nushi, E Kamar, MT Ribeiro, DS Weld
CHI, 2021
A coverage-based utility model for identifying unknown unknowns
G Bansal, DS Weld
AAAI, 2018
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
G Bansal, B Nushi, E Kamar, E Horvitz, DS Weld
AAAI, 2021
Technology-enabled disinformation: Summary, lessons, and recommendations
J Akers, G Bansal, G Cadamuro, C Chen, Q Chen, L Lin, P Mulcaire, ...
arXiv preprint arXiv:1812.09383, 2018
Emerging Perspectives in Human-Centered Machine Learning
G Ramos, J Suh, S Ghorashi, C Meek, R Banks, S Amershi, R Fiebrink, ...
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
Data Staining: A Method for Comparing Faithfulness of Explainers
J Sippy, G Bansal, DS Weld
ICML Workshop on Human Interpretability, 2020
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations
AV González, G Bansal, A Fan, Y Mehdad, R Jia, S Iyer
Findings of ACL, 2021
Explanatory Dialogs: Towards Actionable, Interactive Explanations
G Bansal
AAAI-AIES, 356-357, 2018
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Artiklar 1–12