Follow
Yunfeng Zhang
Title
Cited by
Cited by
Year
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
IBM Journal of Research and Development 63 (4/5), 4: 1-4: 15, 2019
8072019
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2019
2862019
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
Y Zhang, QV Liao, RKE Bellamy
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
2692020
Explaining models: an empirical study of how explanations impact fairness judgment
J Dodge, QV Liao, Y Zhang, RKE Bellamy, C Dugan
Proceedings of the 24th international conference on intelligent user …, 2019
2062019
Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty
U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, G Melançon, ...
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 401-413, 2021
822021
Understanding multitasking through parallelized strategy exploration and individualized cognitive modeling
Y Zhang, AJ Hornof
Proceedings of the SIGCHI conference on human factors in computing systems …, 2014
552014
Mode-of-disparities error correction of eye-tracking data
Y Zhang, AJ Hornof
Behavior research methods 43 (3), 834-842, 2011
492011
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
J. Mach. Learn. Res. 21 (130), 1-6, 2020
442020
Designing information for remediating cognitive biases in decision-making
Y Zhang, RKE Bellamy, WA Kellogg
Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015
402015
Data augmentation for discrimination prevention and bias disambiguation
S Sharma, Y Zhang, JM Ríos Aliaga, D Bouneffouf, V Muthusamy, ...
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 358-364, 2020
392020
Explainable active learning (xal) toward ai explanations as interfaces for machine teachers
B Ghai, QV Liao, Y Zhang, R Bellamy, K Mueller
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW3), 1-28, 2021
372021
How much automation does a data scientist want?
D Wang, QV Liao, Y Zhang, U Khurana, H Samulowitz, S Park, M Muller, ...
arXiv preprint arXiv:2101.03970, 2021
342021
Think your artificial intelligence software is fair? Think again
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
IEEE Software 36 (4), 76-80, 2019
312019
Model agnostic multilevel explanations
K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar
Advances in neural information processing systems 33, 5968-5979, 2020
302020
Knowing where and when to look in a time-critical multimodal dual task
AJ Hornof, Y Zhang, T Halverson
Proceedings of the SigChi conference on human factors in computing systems …, 2010
302010
Joint optimization of ai fairness and utility: A human-centered approach
Y Zhang, R Bellamy, K Varshney
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 400-406, 2020
272020
Easy post-hoc spatial recalibration of eye tracking data
Y Zhang, AJ Hornof
Proceedings of the symposium on eye tracking research and applications, 95-98, 2014
262014
Explainable active learning (xal): An empirical study of how local explanations impact annotator experience
B Ghai, QV Liao, Y Zhang, R Bellamy, K Mueller
arXiv preprint arXiv:2001.09219, 2020
252020
Introduction to explainable AI
QV Liao, M Singh, Y Zhang, R Bellamy
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021
202021
Deciding fast and slow: The role of cognitive biases in ai-assisted decision-making
C Rastogi, Y Zhang, D Wei, KR Varshney, A Dhurandhar, R Tomsett
arXiv preprint arXiv:2010.07938, 2020
202020
The system can't perform the operation now. Try again later.
Articles 1–20