| (De) Noise: Moderating the Inconsistency Between Human Decision-Makers N Grgić-Hlača, J Ali, KP Gummadi, JW Vaughan arXiv preprint arXiv:2407.11225, 2024 | | 2024 |
| " I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust SSY Kim, QV Liao, M Vorvoreanu, S Ballard, JW Vaughan The 2024 ACM Conference on Fairness, Accountability, and Transparency, 822-835, 2024 | 10 | 2024 |
| The CLeAR Documentation Framework for AI Transparency K Chmielinski, S Newman, CN Kranzinger, M Hind, JW Vaughan, ... | | 2024 |
| Tinker, Tailor, Configure, Customize: The Articulation Work of Contextualizing an AI Fairness Checklist MA Madaio, J Chen, H Wallach, J Wortman Vaughan Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1), 1-20, 2024 | | 2024 |
| How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions? C Rastogi, I Stelmakh, A Beygelzimer, YN Dauphin, P Liang, ... Plos one 19 (4), e0300710, 2024 | 9 | 2024 |
| Canvil: Designerly Adaptation for LLM-Powered User Experiences KJ Feng, QV Liao, Z Xiao, JW Vaughan, AX Zhang, DW McDonald arXiv preprint arXiv:2401.09051, 2024 | 5 | 2024 |
| Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments AC Roman, JW Vaughan, V See, S Ballard, N Schifano, J Torres, ... arXiv preprint arXiv:2312.06153, 2023 | 4 | 2023 |
| Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments A Cintron Roman, J Wortman Vaughan, V See, S Ballard, N Schifano, ... arXiv e-prints, arXiv: 2312.06153, 2023 | | 2023 |
| An Equivalence Between Fair Division and Wagering Mechanisms R Freeman, J Witkowski, JW Vaughan, DM Pennock Management Science, 2023 | 1 | 2023 |
| Understanding the role of human intuition on reliance in human-AI decision-making with explanations V Chen, QV Liao, J Wortman Vaughan, G Bansal Proceedings of the ACM on Human-Computer Interaction 7 (CSCW2), 1-32, 2023 | 54 | 2023 |
| Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment A Beygelzimer, YN Dauphin, P Liang, JW Vaughan arXiv preprint arXiv:2306.03262, 2023 | 3 | 2023 |
| AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap QV Liao, JW Vaughan arXiv preprint arXiv:2306.01941, 2023 | 86 | 2023 |
| Greedy algorithm almost dominates in smoothed contextual bandits M Raghavan, A Slivkins, JW Vaughan, ZS Wu SIAM Journal on Computing 52 (2), 487-524, 2023 | 19 | 2023 |
| Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience QV Liao, H Subramonyam, J Wang, J Wortman Vaughan Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 47 | 2023 |
| GAM Coach: Towards Interactive and User-centered Algorithmic Recourse ZJ Wang, J Wortman Vaughan, R Caruana, DH Chau Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 18 | 2023 |
| Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions H Vasconcelos, G Bansal, A Fourney, QV Liao, JW Vaughan arXiv preprint arXiv:2302.07248, 2023 | 34* | 2023 |
| Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata AK Heger, LB Marquis, M Vorvoreanu, H Wallach, J Wortman Vaughan Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-29, 2022 | 49 | 2022 |
| Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values ZJ Wang, A Kale, H Nori, P Stella, ME Nunnally, DH Chau, M Vorvoreanu, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 25 | 2022 |
| Interpretable Distribution Shift Detection using Optimal Transport N Hulkund, N Fusi, JW Vaughan, D Alvarez-Melis arXiv preprint arXiv:2208.02896, 2022 | 1 | 2022 |
| REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research JJ Smith, S Amershi, S Barocas, H Wallach, J Wortman Vaughan 2022 ACM Conference on Fairness, Accountability, and Transparency, 587-597, 2022 | 30 | 2022 |
Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net