The what-if tool: Interactive probing of machine learning models J Wexler, M Pushkarna, T Bolukbasi, M Wattenberg, F Viégas, J Wilson IEEE transactions on visualization and computer graphics 26 (1), 56-65, 2019 | 535 | 2019 |
The language interpretability tool: Extensible, interactive visualizations and analysis for NLP models I Tenney, J Wexler, J Bastings, T Bolukbasi, A Coenen, S Gehrmann, ... arXiv preprint arXiv:2008.05122, 2020 | 168 | 2020 |
Data cards: Purposeful and transparent dataset documentation for responsible ai M Pushkarna, A Zaldivar, O Kjartansson Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 131 | 2022 |
Healthsheet: development of a transparency artifact for health datasets N Rostamzadeh, D Mincu, S Roy, A Smart, L Wilcox, M Pushkarna, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 38 | 2022 |
Investigating how practitioners use human-ai guidelines: A case study on the people+ ai guidebook N Yildirim, M Pushkarna, N Goyal, M Wattenberg, F Viégas Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 36 | 2023 |
Lampost: Design and evaluation of an ai-assisted email writing prototype for adults with dyslexia SM Goodman, E Buehler, P Clary, A Coenen, A Donsbach, TN Horne, ... Proceedings of the 24th International ACM SIGACCESS Conference on Computers …, 2022 | 33 | 2022 |
Introducing the model card toolkit for easier model transparency reporting H Fang, H Miao, K Shukla, D Nanas, C Xu, C Greer, N Polyzotis, T Doshi, ... Google AI Blog, 2020 | 15 | 2020 |
Clinicalvis: Supporting clinical task-focused design evaluation M Ghassemi, M Pushkarna, J Wexler, J Johnson, P Varghese arXiv preprint arXiv:1810.05798, 2018 | 14 | 2018 |
Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 13 | 2022 |
Constitutionmaker: Interactively critiquing large language models by converting feedback into principles S Petridis, BD Wedin, J Wexler, M Pushkarna, A Donsbach, N Goyal, ... Proceedings of the 29th International Conference on Intelligent User …, 2024 | 7 | 2024 |
Data Cards: Purposeful and Transparent Documentation for Responsible AI M Pushkarna, A Zaldivar 1st Data-centric AI Workshop at NeurIPS 2021, 2021 | 5 | 2021 |
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models M Kahng, I Tenney, M Pushkarna, MX Liu, J Wexler, E Reif, K Kallarackal, ... arXiv preprint arXiv:2402.10524, 2024 | 4 | 2024 |
Probing ML models for fairness with the What-If tool and SHAP: hands-on tutorial J Wexler, M Pushkarna, S Robinson, T Bolukbasi, A Zaldivar Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 3 | 2020 |
Data Cards Playbook: Participatory Activities for Dataset Documentation M Pushkarna, A Zaldivar, D Nanas ACM FAccT, 2021 | 2* | 2021 |
From Discovery to Adoption: Understanding the ML Practitioners’ Interpretability Journey N Ashtari, R Mullins, C Qian, J Wexler, I Tenney, M Pushkarna Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2304-2325, 2023 | 1 | 2023 |
LaMPost: Evaluation of an AI-assisted Writing Email Editor Prototype for Adults with Dyslexia S Goodman, E Buehler, P Clary, A Coenen, AM Donsbach, T Horne, ... | 1 | 2022 |
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI A Zaldivar, M Pushkarna, O Kjartansson | | 2022 |
Development of a Transparency Artifact for Health Datasets A Smart, D Mincu, J Schrouff, K Heller, L Wilcox, MC Elish, M Pushkarna, ... | | 2022 |
Pre-experiences M Pushkarna Northeastern University, 2016 | | 2016 |