| REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets A Wang, A Narayanan, O Russakovsky European Conference on Computer Vision, 733-751, 2020 | 129 | 2020 |
| Learning Robotic Manipulation through Visual Planning and Acting A Wang, T Kurutach, K Liu, P Abbeel, A Tamar Robotics: Science and Systems (RSS), 2019 | 118 | 2019 |
| Understanding and Evaluating Racial Biases in Image Captioning D Zhao, A Wang, O Russakovsky International Conference on Computer Vision (ICCV), 2021 | 78 | 2021 |
| Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation A Wang, VV Ramaswamy, O Russakovsky ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022 | 47 | 2022 |
| Safer Classification By Synthesis W Wang, A Wang, A Tamar, X Chen, P Abbeel NeurIPS 2017 Workshop on Aligned Artificial Intelligence, 2017 | 44 | 2017 |
| Directional Bias Amplification A Wang, O Russakovsky International Conference on Machine Learning (ICML), 2021 | 37 | 2021 |
| Measuring Representational Harms in Image Captioning A Wang, S Barocas, K Laird, H Wallach ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022 | 26 | 2022 |
| Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy A Wang, S Kapoor, S Barocas, A Narayanan | 17 | 2022 |
| The Limits of Global Inclusion in AI Development A Chan, CT Okolo, Z Terner, A Wang AAAI 2021 Workshop on Reframing Diversity in AI, 2021 | 17 | 2021 |
| Manipulative tactics are the norm in political emails: Evidence from 100K emails from the 2020 US election cycle A Mathur, A Wang, C Schwemmer, M Hamin, BM Stewart, A Narayanan Big Data & Society, 2023 | 16 | 2023 |
| Gender artifacts in visual datasets N Meister, D Zhao, A Wang, VV Ramaswamy, R Fong, O Russakovsky Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| Overwriting Pretrained Bias with Finetuning Data A Wang, O Russakovsky Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5* | 2023 |
| Taxonomizing and Measuring Representational Harms: A Look at Image Tagging J Katzman, A Wang, M Scheuerman, SL Blodgett, K Laird, H Wallach, ... Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023 | 3 | 2023 |
| Measuring stereotype harm from machine learning errors requires understanding who is being harmed by which errors in what ways A WANG, X BAI, S BAROCAS, S BLODGETT ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2023 | | 2023 |
