| 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 | 336 | 2019 |
| 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 | 295 | 2020 |
| 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 | 263 | 2019 |
| 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 | 223 | 2019 |
| 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 | 91 | 2021 |
| 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 | 55 | 2014 |
| 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 | 54 | 2021 |
| Mode-of-disparities error correction of eye-tracking data Y Zhang, AJ Hornof Behavior research methods 43, 834-842, 2011 | 48 | 2011 |
| 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 | 42 | 2021 |
| 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 | 42 | 2020 |
| 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 | 41 | 2015 |
| 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 | 36 | 2021 |
| Model agnostic multilevel explanations K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar Advances in neural information processing systems 33, 5968-5979, 2020 | 34 | 2020 |
| 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 | 32 | 2019 |
| 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 | 30 | 2010 |
| 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 | 29 | 2020 |
| 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 | 27 | 2014 |
| 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 | 26 | 2020 |
| 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 | 23 | 2020 |
| 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 | 22 | 2021 |
Q.Vera LiaoMicrosoft ResearchVerified email at microsoft.com
