80 citations · 210 across the 8 of their papers we have counts for
8 papers
Case Repositories: Towards Case-Based Reasoning for AI Alignment
K. J. Kevin Feng, Quan Ze Chen, Inyoung Cheong +2
Case studies commonly form the pedagogical backbone in law, ethics, and many other domains that face complex and ambiguous societal questions informed by human values. Similar comp…
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation
Andre Ye, Quan Ze Chen, Amy Zhang
Medical image segmentation modeling is a high-stakes task where understanding of uncertainty is crucial for addressing visual ambiguity. Prior work has developed segmentation model…
Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor
Shagun Jhaver, Alice Qian Zhang, Quanze Chen +3
Social media platforms moderate content for each user by incorporating the outputs of both platform-wide content moderation systems and, in some cases, user-configured personal mod…
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets
Teanna Barrett, Quan Ze Chen, Amy X. Zhang
To investigate the well-observed racial disparities in computer vision systems that analyze images of humans, researchers have turned to skin tone as more objective annotation than…
Judgment Sieve: Reducing Uncertainty in Group Judgments through Interventions Targeting Ambiguity versus Disagreement
Quan Ze Chen, Amy X. Zhang
When groups of people are tasked with making a judgment, the issue of uncertainty often arises. Existing methods to reduce uncertainty typically focus on iteratively improving spec…
Designing Word Filter Tools for Creator-led Comment Moderation
Shagun Jhaver, Quan Ze Chen, Detlef Knauss +1
Online social platforms centered around content creators often allow comments on content, where creators moderate the comments they receive. As creators can face overwhelming numbe…
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty
Quanze Chen, Daniel S. Weld, Amy X. Zhang
Human ratings have become a crucial resource for training and evaluating machine learning systems. However, traditional elicitation methods for absolute and comparative rating suff…
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations
John Akers, Gagan Bansal, Gabriel Cadamuro +12
Technology is increasingly used -- unintentionally (misinformation) or intentionally (disinformation) -- to spread false information at scale, with potentially broad-reaching socie…