747 citations · 1.7k across the 4 of their papers we have counts for
4 papers
A LINDDUN-based Privacy Threat Modeling Framework for GenAI
Qianying Liao, Jonah Bellemans, Laurens Sion +6
As generative AI (GenAI) systems become increasingly prevalent across various technological stacks, the question of how such systems handle sensitive and personal data flows become…
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy
Today, AI is being increasingly used to help human experts make decisions in high-stakes scenarios. In these scenarios, full automation is often undesirable, not only due to the si…
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
A surge of interest in explainable AI (XAI) has led to a vast collection of algorithmic work on the topic. While many recognize the necessity to incorporate explainability features…
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang +2
Ensuring fairness of machine learning systems is a human-in-the-loop process. It relies on developers, users, and the general public to identify fairness problems and make improvem…