Cornell Tech

Rule Development in Online Communities Amidst Growth and Generative AI

Online community moderators continually adapt their rules to meet changing realities. The dynamics of these micro-level governance actions reflect various community needs and online moderation strategies. Understanding how online communities adapt their moderation rules as they g...

(De)composing Craft: An Elementary Grammar for Sharing Expertise in Craft Workflows

Craft practices rely on evolving archives of skill and knowledge developed through generations of craftspeople experimenting with designs, materials, and techniques. Better documentation of these practices enables the sharing of knowledge and expertise between sites and generatio...

Orienting Participatory AI for Frontline Care Work: A Conceptual Framework for Technologists

Technologists increasingly turn to artificial intelligence (AI) to support frontline care workers ( FCWs ), via work-tracking applications, well-being monitoring systems, and other data-driven interventions aimed at improving care quality and working conditions for this vital lab...

AnExplainable AI Engineering Framework for Claims-Only First-Stage Provider Audit Triage Using SHAP-Guided Hybrid Retrieval-Augmented Generation

This study proposes an explainable artificial intelligence (XAI) engineering workflow for provider-level healthcare claim audit prioritization using SHAP-guided hybrid retrieval-augmented generation (RAG). The framework integrates provider-level claim aggregation, tree-based risk...