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Found 5 papers, 2 papers with code
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support
As the fields of HCI and AI in healthcare develop new ways to design and evaluate CDS tools, we call on the community to prioritize ecologically valid, domain-appropriate study setups that measure the emergent forms of value that AI can bring to healthcare professionals.
Interactive Debugging and Steering of Multi-Agent AI Systems
Fully autonomous teams of LLM-powered AI agents are emerging that collaborate to perform complex tasks for users.
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization
With the widespread use of toxic language online, platforms are increasingly using automated systems that leverage advances in natural language processing to automatically flag and remove toxic comments.
RECAST: Interactive Auditing of Automatic Toxicity Detection Models
As toxic language becomes nearly pervasive online, there has been increasing interest in leveraging the advancements in natural language processing (NLP), from very large transformer models to automatically detecting and removing toxic comments.
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
We present FairVis, a mixed-initiative visual analytics system that integrates a novel subgroup discovery technique for users to audit the fairness of machine learning models.
