50 citations · 174 across the 25 of their papers we have counts for
5 papers · 1 filter
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
Gaole He, Patrick Hemmer, Michael Vössing +2
In recent years, the rapid development of AI systems has brought about the benefits of intelligent services but also concerns about security and reliability. By fostering appropria…
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems
Gaole He, Abri Bharos, Ujwal Gadiraju
Powerful predictive AI systems have demonstrated great potential in augmenting human decision making. Recent empirical work has argued that the vision for optimal human-AI collabor…
From Stem to Stern: Contestability Along AI Value Chains
Agathe Balayn, Yulu Pi, David Gray Widder +9
This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize…
Towards Benchmarking the Utility of Explanations for Model Debugging
Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju +1
Post-hoc explanation methods are an important class of approaches that help understand the rationale underlying a trained model's decision. But how useful are they for an end-user…
Dissonance Between Human and Machine Understanding
Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju +1
Complex machine learning models are deployed in several critical domains including healthcare and autonomous vehicles nowadays, albeit as functional black boxes. Consequently, ther…