215 citations · 551 across the 33 of their papers we have counts for
7 papers · 1 filter
Unexploited Information Value in Human-AI Collaboration
Ziyang Guo, Yifan Wu, Jason Hartline +1
Humans and AIs are often paired on decision tasks with the expectation of achieving complementary performance -- where the combination of human and AI outperforms either one alone.…
VMC: A Grammar for Visualizing Statistical Model Checks
Ziyang Guo, Alex Kale, Matthew Kay +1
Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it diffic…
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems
Neha R. Gupta, Jessica Hullman, Hari Subramonyam
Research in Responsible AI has developed a range of principles and practices to ensure that machine learning systems are used in a manner that is ethical and aligned with human val…
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu +4
Differential privacy (DP) has the potential to enable privacy-preserving analysis on sensitive data, but requires analysts to judiciously spend a limited ``privacy loss budget'' $ε…
Erie: A Declarative Grammar for Data Sonification
Hyeok Kim, Yea-Seul Kim, Jessica Hullman
Data sonification-mapping data variables to auditory variables, such as pitch or volume-is used for data accessibility, scientific exploration, and data-driven art (e.g., museum ex…
A Decision Theoretic Framework for Measuring AI Reliance
Ziyang Guo, Yifan Wu, Jason Hartline +1
Humans frequently make decisions with the aid of artificially intelligent (AI) systems. A common pattern is for the AI to recommend an action to the human who retains control over…