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Yunfeng Zhang
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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
13262019
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
5592020
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
4042019
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
3292019
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
2102021
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
962021
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
862020
Ai explainability 360 toolkit
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021
812021
Human-ai collaboration via conditional delegation: A case study of content moderation
V Lai, S Carton, R Bhatnagar, QV Liao, Y Zhang, C Tan
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
732022
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
Proceedings of the ACM on Human-computer Interaction 6 (CSCW1), 1-22, 2022
672022
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
572014
Mode-of-disparities error correction of eye-tracking data
Y Zhang, AJ Hornof
Behavior research methods 43, 834-842, 2011
532011
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
522021
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
512015
Model agnostic multilevel explanations
K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar
Advances in neural information processing systems 33, 5968-5979, 2020
482020
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
462019
Connecting algorithmic research and usage contexts: a perspective of contextualized evaluation for explainable AI
QV Liao, Y Zhang, R Luss, F Doshi-Velez, A Dhurandhar
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10 …, 2022
442022
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
412020
Business (mis) use cases of generative ai
S Houde, V Liao, J Martino, M Muller, D Piorkowski, J Richards, J Weisz, ...
arXiv preprint arXiv:2003.07679, 2020
372020
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
332021
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