| 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 | 1736 | 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 | 842 | 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 | 512 | 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 | 407 | 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 | 294 | 2021 |
| 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 | 148 | 2022 |
| 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 | 147 | 2022 |
| 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 | 145 | 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 | 131 | 2020 |
| 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 | 113 | 2021 |
| 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 | 77 | 2022 |
| 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 | 69 | 2021 |
| Model agnostic multilevel explanations K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar Advances in neural information processing systems 33, 5968-5979, 2020 | 66 | 2020 |
| 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 | 62 | 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 | 60 | 2015 |
| 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 | 60 | 2014 |
| Mode-of-disparities error correction of eye-tracking data Y Zhang, AJ Hornof Behavior research methods 43, 834-842, 2011 | 59 | 2011 |
| 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 | 53 | 2019 |
| 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 | 52 | 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 | 50 | 2021 |
Q.Vera LiaoMicrosoft ResearchVerifierad e-postadress på microsoft.com